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Experimental Econophysics
by Ji-Ping HuangExperimental Econophysics describes the method of controlled human experiments, which is developed by physicists to study some problems in economics or finance, namely, stylized facts, fluctuation phenomena, herd behavior, contrarian behavior, hedge behavior, cooperation, business cycles, partial information, risk management, and stock prediction. Experimental econophysics together with empirical econophysics are two branches of the field of econophysics. The latter one has been extensively discussed in the existing books, while the former one has been seldom touched. In this book, the author will focus on the branch of experimental econophysics. Empirical econophysics is based on the analysis of data in real markets by using some statistical tools borrowed from traditional statistical physics. Differently, inspired by the role of controlled experiments and system modelling (for computer simulations and/or analytical theory) in developing modern physics, experimental econophysics specially relies on controlled human experiments in the laboratory (producing data for analysis) together with agent-based modelling (for computer simulations and/or analytical theory), with an aim at revealing the general cause-effect relationship between specific parameters and emergent properties of real economic/financial markets. This book covers the basic concepts, experimental methods, modelling approaches, and latest progress in the field of experimental econophysics.
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9–12, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14958)
by Nicola Ferro Georges Quénot Giorgio Maria Di Nunzio Lorraine Goeuriot Laure Soulier Guglielmo Faggioli Philippe Mulhem Didier Schwab Petra Galuščáková Alba García Seco de HerreraThe two volume set LNCS 14958 + 14959 constitutes the proceedings of the 15th International Conference of the CLEF Association, CLEF 2024, held in Grenoble, France, during September 9–12, 2024. The proceedings contain 11 conference papers; 6 best of CLEF 2023 Labs' papers, and 14 Lab overview papers accepted from 45 submissions. In addition an overview paper on the CLEF activities in the last 25 years is included. The CLEF conference and labs of the evaluation forum deal with topics in information access from different perspectives, in any modality and language, focusing on experimental information retrieval (IR).
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9–12, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14959)
by Nicola Ferro Georges Quénot Giorgio Maria Di Nunzio Lorraine Goeuriot Laure Soulier Guglielmo Faggioli Philippe Mulhem Didier Schwab Petra Galuščáková Alba García Seco de HerreraThe two volume set LNCS 14958 + 14959 constitutes the proceedings of the 15th International Conference of the CLEF Association, CLEF 2024, held in Grenoble, France, during September 9–12, 2024. The proceedings contain 11 conference papers; 6 best of CLEF 2023 Labs' papers, and 14 Lab overview papers accepted from 45 submissions. In addition an overview paper on the CLEF activities in the last 25 years is included. The CLEF conference and labs of the evaluation forum deal with topics in information access from different perspectives, in any modality and language, focusing on experimental information retrieval (IR).
Experimental Mathematics in Action
by David Bailey Jonathan Borwein Neil Calkin Russell Luke Roland Girgensohn Victor MollWith the continued advance of computing power and accessibility, the view that "real mathematicians don't compute" no longer has any traction for a newer generation of mathematicians. The goal in this book is to present a coherent variety of accessible examples of modern mathematics where intelligent computing plays a significant role and in so doi
Experimental Mathematics with Maple (Chapman Hall/CRC Mathematics Series)
by Franco VivaldiAs discrete mathematics rapidly becomes a required element of undergraduate mathematics programs, algebraic software systems replace compiled languages and are now most often the computational tool of choice. Newcomers to university level mathematics, therefore, must not only grasp the fundamentals of discrete mathematics, they must also learn to use an algebraic manipulator and develop skills in abstract reasoning.Experimental Mathematics with MAPLE uniquely responds to these needs. Following an emerging trend in research, it places abstraction and axiomatization at the end of a learning process that begins with computer experimentation. It introduces the foundations of discrete mathematics and, assuming no previous knowledge of computing, gradually develops basic computational skills using the latest version of the powerful MAPLE® software. The author's approach is to expose readers to a large number of concrete computational examples and encourage them to isolate the general from the particular, to synthesize computational results, formulate conjectures, and attempt rigorous proofs. Using this approach, Experimental Mathematics with MAPLE enables readers to build a foundation in discrete mathematics, gain valuable experience with algebraic computing, and develop a familiarity with basic abstract concepts, notation, and jargon. Its engaging style, numerous exercises and examples, and Internet posting of selected solutions and MAPLE worksheets make this text ideal for use both in the classroom and for self-study.
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment (Wiley Series in Survey Methodology)
by Paul J. Lavrakas Brady T. West Michael W. Traugott Courtney Kennedy Allyson L. Holbrook Edith D. de LeeuwA thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used. Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains. Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book: Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation —featuring contributions from across a variety of disciplines in the social and behavioral sciences Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study Includes more than 20 types of original experiments carried out within probability sample surveys Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology. Paul J. Lavrakas, PhD, is Senior Fellow at the NORC at the University of Chicago, Adjunct Professor at University of Illinois-Chicago, Senior Methodologist at the Social Research Centre of Australian National University and at the Office for Survey Research at Michigan State University. Michael W. Traugott, PhD, is Research Professor in the Institute for Social Research at the University of Michigan.
Experimental Physics Compact for Scientists: Mechanics, Thermodynamics, Electrodynamics, Optics & Quantum Physics
by Sebastian SlamaThis book compactly provides the fundamentals of experimental physics for students of the natural sciences who are taking physics as a minor or major subject. Interspersed throughout the main text are numerous exercises with pre-calculated solutions, and the most important formulas are listed again at the end of each chapter. This book enables readers to gain an overview of the individual areas and is thus ideally suited to accompany lectures during studies as well as for exam preparation.The textbook originated from a lecture on "Experimental Physics for Natural Scientists" at the University of Tübingen and is intended for all students in subjects such as biochemistry, bioinformatics, biology, chemistry, computer science, mathematics, pharmacy, geoecology, and earth sciences.The first part of the book deals with Newtonian mechanics including continuum mechanics and oscillations and waves. The second part deals with the basic concepts of thermodynamics with emphasis on the statistical explanations. The third part covers electromagnetic phenomena, especially electrostatics and magnetostatics, electrodynamics, and an introduction to electronic components and circuits. Optics with its subfields, ray optics, wave optics, and quantum optics, is presented in the fourth part. In the fifth and last part of the book, the reader is given an overview of the basic principles of quantum mechanics, including atomic and nuclear physics. For this second edition, the content has been improved and supplemented in many places, including a new section on heat transport and phase transitions, as well as an outlook into alternative interpretations of quantum mechanics.
Experimental Statistics (Dover Books on Mathematics)
by Mary Gibbons NatrellaFormulated to assist scientists and engineers engaged in army ordnance research and development programs, this well-known and highly regarded handbook is a ready reference for advanced undergraduate and graduate students as well as for professionals seeking engineering information and quantitative data for designing, developing, constructing, and testing equipment. Topics include characterizing and comparing the measured performance of a material, product, or process; general considerations in planning experiments; statistical techniques for analyzing extreme-value data; use of transformations; and many other practical methods. 1966 edition. Index. 52 figures. 76 tables.
Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers (Advances in Applied Mathematics)
by James A. MiddletonThis book develops foundational concepts in probability and statistics with primary applications in mechanical and aerospace engineering. It develops the mindset a data analyst must have to interpret an ill-defined problem, operationalize it, collect or interpret data, and use this evidence to make decisions that can improve the quality of engineered products and systems. It was designed utilizing the latest research in statistics learning and in engagement teaching practices The author’s focus is on developing students’ conceptual understanding of statistical theory with the goal of effective design and conduct of experiments. Engineering statistics is primarily a form of data modeling. Emphasis is placed on modelling variation in observations, characterizing its distribution, and making inferences with regards to quality assurance and control. Fitting multivariate models, experimental design and hypothesis testing are all critical skills developed. All topics are developed utilizing real data from engineering projects, simulations, and laboratory experiences. In other words, we begin with data, we end with models. The key features are: Realistic contexts situating the learning of the statistics in actual engineering practice. A balance of rigorous mathematics, conceptual scaffolding, and real, messy data, to ensure that students learn the important concepts and can apply them in practice. The consistency of text, lecture notes, data sets, and simulations yield a coherent set of instructional resources for the instructor and a coherent set of learning experiences for the students. MatLab is used as a computational tool. Other tools are easily substituted. Table of Contents 1. Introduction2. Dealing with Variation3. Types of Data4. Introduction to Probability5. Sampling Distribution of the Mean6. The Ten Building Blocks of Experimental Design7. Sampling Distribution of the Proportion8. Hypothesis Testing Using the 1-sample Statistics9. 2-sample Statistics10. Simple Linear Regression11. The General Linear Model: Regression with Multiple Predictors12. The GLM with Categorical Independent Variables: The Analysis of Variance13. The General Linear Model: Randomized Block Factorial ANOVA14. Factorial Analysis of Variance15. The Bootstrap16. Data Reduction: Principal Components AnalysisIndex Author Biography James A. Middleton is Professor of Mechanical and Aerospace Engineering and former Director of the Center for Research on Education in Science, Mathematics, Engineering, and Technology at Arizona State University. Previously, he held the Elmhurst Energy Chair in STEM education at the University of Birmingham in the UK. He received his Ph.D. from the University of Wisconsin-Madison. He has been Senior co-Chair of the Special Interest Group for Mathematics Education in the American Educational Research Association, and as Chair of the National Council of Teachers of Mathematics’ Research Committee. He has been a consultant for the College Board, the Rand Corporation, the National Academies, the American Statistical Association, the IEEE, and numerous school systems around the United States, the UK, and Australia. He has garnered over $30 million in grants to study and improve mathematics education in urban schools.
Experimental Techniques in Modern High-Energy Physics: A Beginner‘s Guide (Lecture Notes in Physics #1001)
by Kazunori Hanagaki Junichi Tanaka Makoto Tomoto Yuji YamazakiThis open access book offers a concise overview of how data from large scale experiments are analyzed and how technological tools are used in practice, as in the search for new elementary particles. It focuses on interconnects between physics and detector technology in experimental particle physics, and includes descriptions of mathematical approaches. Readers find all the important steps in analysis, including reconstruction of the momentum and energy of particles from detector information, particle identification, and also the general concept of simulating particle production from collisions and detector responses. As the scale of scientific experiments becomes larger and data-intensive science emerges, the techniques used in the data analysis become ever more complicated, making it difficult for beginners to grasp the overall picture. The book provides an explanation of the idea and concepts behind the methods, helping readers understand journal articles on high energy physics. This book is engaging as it does not overemphasize mathematical formalism and it gives a lively example of how such methods have been applied to the Higgs particle discovery in the Large Hadron Collider (LHC) experiments, which led to Englert and Higgs being awarded the Nobel Prize in Physics for 2013.Graduate students and young researchers can easily obtain the required knowledge on how to start data analyses from these notes, without having to spend time in consulting many experts or digesting huge amounts of literature.
Experimental and Numerical Investigations in Materials Science and Engineering: Proceedings of the International Conference of Experimental and Numerical Investigations and New Technologies, CNNTech 2018 (Lecture Notes in Networks and Systems #54)
by Nenad Mitrovic Milos Milosevic Goran MladenovicThis book provides a collection of high-quality peer-reviewed research papers presented at the International Conference of Experimental and Numerical Investigations and New Technologies (CNNTech2018), held in Zlatibor, Serbia from 4 to 6 July 2018. The book discusses a wide variety of industrial, engineering and scientific applications of engineering techniques. Researchers from academia and the industry share their original work and exchange ideas, experiences, information, techniques, applications and innovations in the field of mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.
Experimental and Quantitative Methods in Contemporary Economics: Computational Methods in Experimental Economics (CMEE) 2018 Conference (Springer Proceedings in Business and Economics)
by Kesra Nermend Małgorzata ŁatuszyńskaContemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.
Experimentalphysik 1: Mechanik und Wärme (Springer-Lehrbuch)
by Wolfgang DemtröderDas vorliegende Lehrbuch zur Mechanik und Wärmelehre richtet sich an Studierende der Physik im ersten Semester. Die Vorlesungsinhalte werden hier anschaulich, übersichtlich und leicht verständlich in zwölf Kapiteln dargestellt: Das Buch beginnt mit der Mechanik des Massenpunktes, Bezugssystemen und spezielle Relativitätstheorie. Es werden Systeme von Massenpunkten und die Dynamik starrer ausgedehnter Körper behandelt. Anschließend wird das Verhalten von festen und flüssigen realen Körpern und Gasen diskutiert. Strömende Flüssigkeiten und Gase, Auftrieb und die Physik des Fliegens werden im nächsten Kapitel besprochen. Nach der Vakuum-Physik wird die Wärmelehre eingeführt. Das Buch endet mit mechanischen Schwingungen und Wellen, nichtlinearer Dynamik und Chaos. Für das Verständnis notwendige Teilaspekte der Mathematik werden im Anhang aufgeführt. Ganz im Stil der bekannten Reihe zur Experimentalphysik von Professor Demtröder wird auch die Mechanik und Wärmelehre möglichst quantitativ präsentiert. Wichtige Formeln und Merksätze sind hervorgehoben und der Lernstoff direkt anhand von Beispielen verständlich gemacht. Über 160 Übungsaufgaben werden ausführlich gelöst und Zusammenfassungen unterstützen Studierende beim strukturierten Lernen. In der neunten Auflage des beliebten Lehrbuches erwartet Leserinnen und Leser jetzt zusätzlich: o Wichtige und grundlegende Aufgaben werden in Videos klar und verständlich besprochen und ausführlich an der Tafel gelöst. o Kurze Fragen am Anfang der Kapitel stimmen auf das jeweilige Themengebiet ein und machen neugierig, beispielsweise: Woher wissen wir, dass die Lichtgeschwindigkeit konstant und unabhängig von der Bewegung des Beobachters ist? Was ist ein Trägheitsmoment eines Körpers und wie unterscheidet es sich von der Masse des Körpers? Wovon hängt es ab, ob Materie fest, flüssig oder gasförmig ist? Wie kommt eine Seifenblase zustande? o Ein neues Layout präsentiert den Inhalt noch übersichtlicher. o Ausgesuchte Abbildungen stehen als Vorlesungsfolien für Dozentinnen und Dozenten zur Verfügung. Der Autor Wolfgang Demtröder studierte an den -Universitäten in Münster, Tübingen und Bonn die Fächer Physik, Mathematik und Musikwissenschaft. Dort promovierte er bei dem späteren Nobelpreisträger Prof. Wolfgang Paul. Er arbeitete an der Universität Freiburg als wissenschaftlicher Mitarbeiter, wo er auch habilitiert wurde und forschte als Visiting Fellow am Joint Institute for Astrophysics in Boulder, Colorado und erhielt 1970 einen Ruf als ordentlicher Professor an die Universität Kaiserslautern. Er forschte unter anderem auf dem Gebiet der hochauflösenden Laserspektroskopie kleiner Moleküle. Bekannt ist der Autor vor allem für sein Standardwerk über Laserspektroskopie und seine beliebte und bekannte Lehrbuchreihe Experimentalphysik I-IV.
Experimentation Methodology for Engineers (SpringerBriefs in Applied Sciences and Technology)
by Frank A. Coutelieris Antonios KanavourasThis book delivers a methodological approach on the experimentation and/or simulation processes from the disclaiming hypothesis on a physical phenomenon to the validation of the results. The main benefit of the book is that it discusses all the topics related to experimentation and validation of the outcome including state-of-the-art applications and presents important theoretical, mathematical and experimental developments, providing a self-contained major reference that is appealing to both the scientists and the engineers. At the same time, these topics are encountered in a variety of scientific and engineering disciplines. As a first step, it presents the theoretical and practical implications on the formation of a hypothesis, considering the existing knowledge collection, classification and validation of the particular areas of experimenting interest. Afterwards, the transition from the knowledge classes to the experimentation parameters according to the phenomena evolution contributors and the systemic properties of the descriptors are discussed. The major experimenting requirements focus on the conditions to satisfy a potential disclaim of the initial hypothesis as conditions. Furthermore, the experimentation outcome, as derived via the previous experimentation process set-up, would be validate for the similarities among the existing knowledge and derived new one. The whole methodology offers a powerful tool towards the minimization of research effort wastes, as far as it can identify the lacks of knowledge, thus the areas of interest where the current research has to work on. The special features of this book are (a) the use of state-of-the-art techniques for the classification of knowledge, (b) the consideration of a realistic systemic world of engineering approached phenomena, (c) the application of advanced mathematical techniques for identifying, describing and testing the similarities in the research results and conclusions, and (d) the experimental investigation of relevant phenomena.
Experimentation in Mathematics: Computational Paths to Discovery
by Roland Girgensohn Jonathan M. Borwein David H. BaileyNew mathematical insights and rigorous results are often gained through extensive experimentation using numerical examples or graphical images and analyzing them. Today computer experiments are an integral part of doing mathematics. This allows for a more systematic approach to conducting and replicating experiments. The authors address the role of
Experimentieren und Begründen: Naturwissenschaftliche Denk- und Arbeitsweisen beim Mathematiklernen (Kölner Beiträge zur Didaktik der Mathematik)
by Julia ReyJulia Rey verdeutlicht in diesem Buch, dass die Verbindung zur Naturwissenschaft für verschiedene Aspekte des Mathematiklernens einen Zugewinn darstellt. Die von den Naturwissenschaften ausgehende untrennbare Verbindung zwischen Denken und Arbeiten,insbesondere im Zuge der experimentellen Methode, lässt sich bei Erarbeitungsprozessen mathematischer Zusammenhänge produktiv nutzen. Eine naturwissenschaftliche Betrachtung mathematischer Lernprozesse ermöglicht verschiedene Verbindungen zwischen experimentellen Tätigkeiten und sich anschließenden Begründungsprozessen. Diese Verbindungen werden nicht nur aufgezeigt, sondern auch konstruktiv für den Mathematikunterricht verwendet.
Experiments
by C. F. Wu Michael S. HamadaPraise for the First Edition:"If you . . . want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library."--Journal of the American Statistical AssociationFully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries--and sheds further light on existing ones--on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences.The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including:Expected mean squares and sample size determinationOne-way and two-way ANOVA with random effectsSplit-plot designsANOVA treatment of factorial effectsResponse surface modeling for related factorsDrawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study.Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.
Experiments With People: Revelations From Social Psychology, 2nd Edition
by Aiden P. Gregg Kurt P. FreyThis book showcases 28 intriguing social psychological experiments that have significantly advanced our understanding of human social thinking and behavior. Each chapter focuses on the details and implications of a single study, while citing related research and real-life examples along the way. All the chapters are fully self-contained, allowing them to be read in any order without loss of coherence. This 2nd Edition contains a number of new studies and, together with its lively, conversational tone, it makes an ideal text for courses in social psychology, introductory psychology, or research design.
Experiments in Topology
by Stephen Barr"A mathematician named KleinThought the Moebius band was divine.Said he: 'If you glueThe edges of two,You'll get a weird bottle like mine.' " -- Stephen BarrIn this lively book, the classic in its field, a master of recreational topology invites readers to venture into such tantalizing topological realms as continuity and connectedness via the Klein bottle and the Moebius strip. Beginning with a definition of topology and a discussion of Euler's theorem, Mr. Barr brings wit and clarity to these topics:New Surfaces (Orientability, Dimension, The Klein Bottle, etc.)The Shortest Moebius StripThe Conical Moebius StripThe Klein BottleThe Projective Plane (Symmetry)Map ColoringNetworks (Koenigsberg Bridges, Betti Numbers, Knots)The Trial of the Punctured TorusContinuity and Discreteness ("Next Number," Continuity, Neighborhoods, Limit Points)Sets (Valid or Merely True? Venn Diagrams, Open and Closed Sets, Transformations, Mapping, Homotopy)With this book and a square sheet of paper, the reader can make paper Klein bottles, step by step; then, by intersecting or cutting the bottle, make Moebius strips. Conical Moebius strips, projective planes, the principle of map coloring, the classic problem of the Koenigsberg bridges, and many more aspects of topology are carefully and concisely illuminated by the author's informal and entertaining approach.Now in this inexpensive paperback edition, Experiments in Topology belongs in the library of any math enthusiast with a taste for brainteasing adventures in the byways of mathematics.
Experiments: Planning, Analysis, and Optimization (Wiley Series in Probability and Statistics #247)
by Michael S. Hamada C. F. WuPraise for the First Edition: "If you ... want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library."—Journal of the American Statistical Association A COMPREHENSIVE REVIEW OF MODERN EXPERIMENTAL DESIGN Experiments: Planning, Analysis, and Optimization, Third Edition provides a complete discussion of modern experimental design for product and process improvement—the design and analysis of experiments and their applications for system optimization, robustness, and treatment comparison. While maintaining the same easy-to-follow style as the previous editions, this book continues to present an integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences. New chapters provide modern updates on practical optimal design and computer experiments, an explanation of computer simulations as an alternative to physical experiments. Each chapter begins with a real-world example of an experiment followed by the methods required to design that type of experiment. The chapters conclude with an application of the methods to the experiment, bridging the gap between theory and practice. The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. The third edition includes: Information on the design and analysis of computer experiments A discussion of practical optimal design of experiments An introduction to conditional main effect (CME) analysis and definitive screening designs (DSDs) New exercise problems This book includes valuable exercises and problems, allowing the reader to gauge their progress and retention of the book's subject matter as they complete each chapter. Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study. Experiments: Planning, Analysis, and Optimization, Third Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.
Expert Adjustments of Model Forecasts
by Philip Hans FransesTo what extent should anybody who has to make model forecasts generated from detailed data analysis adjust their forecasts based on their own intuition? In this book, Philip Hans Franses, one of Europe's leading econometricians, presents the notion that many publicly available forecasts have experienced an 'expert's touch', and questions whether this type of intervention is useful and if a lighter adjustment would be more beneficial. Covering an extensive research area, this accessible book brings together current theoretical insights and new empirical results to examine expert adjustment from an econometric perspective. The author's analysis is based on a range of real forecasts and the datasets upon which the forecasters relied. The various motivations behind experts' modifications are considered, and guidelines for creating more useful and reliable adjusted forecasts are suggested. This book will appeal to academics and practitioners with an interest in forecasting methodology.
Expert GeoServer: Build and secure advanced interfaces and interactive maps
by Ben MearnsA fast-paced guide to putting your GeoServer-based application into fast, user-friendly, and secure productionKey Features Resolve bottlenecks, optimize data stores, and cluster server resources Use identity management and authentication for a user-specific, secure web application Go beyond traditional web hosting to explore the full range of hosting options in the cloudBook DescriptionGeoServer is open source, server-side software written in Java that allows users to share and edit geospatial data. In this book, you'll start by learning how to develop a spatial analysis platform with web processing services. Then you'll see how to develop an algorithm by chaining together geospatial analysis processes, which you can share with anyone in the world. Next you'll delve into a very important technique to improve the speed of your map application—tile caching. Here, you'll understand how tile caching works, how to develop an effective tile cache-supported web service, and how to leverage tile caching in your OpenLayers web application.Further on, you'll explore important tweaks to produce a performant GeoServer-backed web mapping application. Moving on, you'll enable authentication on the frontend and backend to protect sensitive map data, and deliver sensitive data to your end user. Finally, you'll see how to put your web application into production in a secure and user-friendly way. You'll go beyond traditional web hosting to explore the full range of hosting options in the cloud, and maintain a reliable server instance.What you will learn Develop a WPS-processing service to allow web-based geospatial data processing Get to know important techniques to improve the speed of your web map application—tile caching, raster data optimization, and server clustering Find out which GeoServer settings resolve bottlenecks Develop an algorithm by chaining geospatial analysis processes together Put your application into production with hosting, monitoring, and automated backup and recovery Understand how to develop an effective tile cache-supported web service Master techniques that ensure resilient server deploymentWho this book is forThis book is for anyone who wants to learn about advanced interfaces, security, and troubleshooting techniques in GeoServer. A basic understanding of GeoServer is required
Expertise in Mathematics Instruction
by Yeping Li Gabriele KaiserAccumulated research findings in past decades have led to the common knowledge that teachers' professional knowledge is essential to effective classroom instruction. However, there is still very limited understanding about the nature of teachers' expertise in mathematics instruction. Expertise in Mathematics Instruction addresses this need clearly and concisely. In particular, it examines all aspects of emphases employed to characterize the nature of expertise in mathematics instruction from both researchers' and practitioners' perspectives. Moreover, with research contributions from both the East and the West, this book also examines ideas pertinent to fostering and demonstrating expertise in mathematics instruction within different system contexts. This book will raise questions and issues for mathematics education researchers to guide a critical examination of what can be learned from other education systems. Expertise in Mathematics Instruction builds on its theoretical and methodological approach with contributions from international experts in the field. Additionally, a review of related research from mathematics education serves as an introduction to the new research in both Eastern and Western settings. Concluding this resource is a reflection on the benefits of this international collaboration and possible research directions for the future. The final chapter cohesively joins traditional and current research for action. Expertise in Mathematics Instruction is of interest to researchers in mathematics education, mathematics teacher educators, and mathematics educators.
Expertise von Lehrkräften zur mathematischen Potenzialförderung (Dortmunder Beiträge zur Entwicklung und Erforschung des Mathematikunterrichts #47)
by Kim-Alexandra RösikeDie schulischen Förderprogramme für Lernende mit mathematischen Potenzialen fokussiert in Deutschland noch immer zum großen Teil diejenigen Lernenden, die bereits durch stabil gute Leistungen auffallen. Unter Annahme des partizipativen und dynamischen Potenzialbegriffs können jedoch potenzialförderliche Unterrichtskonzepte etabliert werden, die es einer größeren Anzahl von Lernenden ermöglicht, ihre Potenziale zu entwickeln und zu stabilisieren. Dieses Buch beschäftigt sich mit der für den potenzialförderlichen Unterricht notwendigen Expertise von Lehrkräften. Dazu wird ein gegenstandsspezifisches Design-Research-Projekt durchgeführt, das sowohl die Expertise von Lehrkräften differenziert beschreibt und rekonstruiert, als auch eine Fortbildung zur mathematischen Potenzialförderung entwickelt. Durch die empirischen Analysen können drei zentrale Leitkategorien als strukturgebendes Element der Expertise von Lehrkräften rekonstruiert werden, die ihr Denken und Wahrnehmen leiten. Die daraus resultierenden Diagnose- und Förderpraktiken tragen maßgeblich zu einem tieferen Verständnis der Expertise bei und ermöglichen die Entwicklung konkreter gegenstandsspezifischer Designelemente für die Fortbildung.
Explainable AI Within the Digital Transformation and Cyber Physical Systems: XAI Methods and Applications
by Moamar Sayed-MouchawehThis book presents Explainable Artificial Intelligence (XAI), which aims at producing explainable models that enable human users to understand and appropriately trust the obtained results. The authors discuss the challenges involved in making machine learning-based AI explainable. Firstly, that the explanations must be adapted to different stakeholders (end-users, policy makers, industries, utilities etc.) with different levels of technical knowledge (managers, engineers, technicians, etc.) in different application domains. Secondly, that it is important to develop an evaluation framework and standards in order to measure the effectiveness of the provided explanations at the human and the technical levels. This book gathers research contributions aiming at the development and/or the use of XAI techniques in order to address the aforementioned challenges in different applications such as healthcare, finance, cybersecurity, and document summarization. It allows highlighting the benefits and requirements of using explainable models in different application domains in order to provide guidance to readers to select the most adapted models to their specified problem and conditions.Includes recent developments of the use of Explainable Artificial Intelligence (XAI) in order to address the challenges of digital transition and cyber-physical systems;Provides a textual scientific description of the use of XAI in order to address the challenges of digital transition and cyber-physical systems;Presents examples and case studies in order to increase transparency and understanding of the methodological concepts.