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Using the R Commander: A Point-and-Click Interface for R (Chapman & Hall/CRC The R Series #35)
by John FoxThis book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it, although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle. tinyurl.com/RcmdrBookThe site includes data files used in the book and an errata list.
Using the Schoolwide Enrichment Model in Mathematics: A How-To Guide for Developing Student Mathematicians
by M. Katherine Gavin Joseph S. RenzulliUsing the Schoolwide Enrichment Model in Mathematics: A How-to Guide for Developing Student Mathematicians applies the teaching and learning strategies of the Schoolwide Enrichment Model (SEM) to the math classroom. Based on more than 40 years of research and development and used in schools around the world, the SEM approach focuses on promoting higher level thinking skills and creative productivity. Using this approach in mathematics, this new guidebook promotes the use of the Mathematical Practices outlined in the Common Core State Standards as the underlying processes and proficiencies that should be developed in students. Teachers learn how to create a culture of enjoyment, engagement, and enthusiasm for all students, and in particular gifted students, while developing students who think and act like mathematicians. Easy to read and use, the book incorporates many practical suggestions, including views from the classroom and sample activities from NAGC-award winning curriculum to motivate and challenge students.
Using the Weibull Distribution
by John I. MccoolUnderstand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self-contained presentation of the probabilistic basis for the methodology while providing powerful techniques for extracting information from data. The author explains the use of the Weibull distribution and its statistical and probabilistic basis, providing a wealth of material that is not available in the current literature. The book begins by outlining the fundamental probability and statistical concepts that serve as a foundation for subsequent topics of coverage, including: * Optimum burn-in, age and block replacement, warranties and renewal theory * Exact inference in Weibull regression * Goodness of fit testing and distinguishing the Weibull from the lognormal * Inference for the Three Parameter Weibull Throughout the book, a wealth of real-world examples showcases the discussed topics and each chapter concludes with a set of exercises, allowing readers to test their understanding of the presented material. In addition, a related website features the author's own software for implementing the discussed analyses along with a set of modules written in Mathcad®, and additional graphical interface software for performing simulations. With its numerous hands-on examples, exercises, and software applications, Using the Weibull Distribution is an excellent book for courses on quality control and reliability engineering at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for engineers, scientists, and business analysts who gather and interpret data that follows the Weibull distribution
Using Time Series to Analyze Long-Range Fractal Patterns (Quantitative Applications in the Social Sciences #185)
by Matthijs KoopmansUsing Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar in appearance, but unlike seasonal patterns more familiar to social scientists, repeated over a time scale that is not fixed. Until now, the application of these methods has mainly involved analysis of dynamical systems outside of the social sciences, but this volume makes it possible for social scientists to explore and document fractal patterns in dynamical social systems. Author Matthijs Koopmans concentrates on two general approaches to irregularity in long time series: autoregressive fractionally integrated moving average models, and power spectral density analysis. He demonstrates the methods through two kinds of examples: simulations that illustrate the patterns that might be encountered and serve as a benchmark for interpreting patterns in real data; and secondly social science examples such a long range data on monthly unemployment figures, daily school attendance rates; daily numbers of births to teens, and weekly survey data on political orientation. Data and R-scripts to replicate the analyses are available on an accompanying website.
Using Time Series to Analyze Long-Range Fractal Patterns (Quantitative Applications in the Social Sciences #185)
by Matthijs KoopmansUsing Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar in appearance, but unlike seasonal patterns more familiar to social scientists, repeated over a time scale that is not fixed. Until now, the application of these methods has mainly involved analysis of dynamical systems outside of the social sciences, but this volume makes it possible for social scientists to explore and document fractal patterns in dynamical social systems. Author Matthijs Koopmans concentrates on two general approaches to irregularity in long time series: autoregressive fractionally integrated moving average models, and power spectral density analysis. He demonstrates the methods through two kinds of examples: simulations that illustrate the patterns that might be encountered and serve as a benchmark for interpreting patterns in real data; and secondly social science examples such a long range data on monthly unemployment figures, daily school attendance rates; daily numbers of births to teens, and weekly survey data on political orientation. Data and R-scripts to replicate the analyses are available on an accompanying website.
The USSR Olympiad Problem Book: Selected Problems and Theorems of Elementary Mathematics (Dover Books on Mathematics)
by I. M. Yaglom D. O. Shklarsky N. N. ChentzovThis book contains 320 unconventional problems in algebra, arithmetic, elementary number theory, and trigonometry. Most of the problems first appeared in competitive examinations sponsored by the School Mathematical Society of the Moscow State University and the Mathematical Olympiads held in Moscow. Although most of the problems presuppose only high school mathematics, they are not easy; some are of uncommon difficulty and will challenge the ingenuity of any research mathematician. Nevertheless, many are well within the reach of motivated high school students and even advanced seventh and eighth graders.The problems are grouped into twelve separate sections. Among these are: the divisibility of integers, equations having integer solutions, evaluating sums and products, miscellaneous algebraic problems, the algebra of polynomials, complex numbers, problems of number theory, distinctive inequalities, difference sequences and sums, and more.Complete solutions to all problems are given; in many cases, alternate solutions are detailed from different points of view. Solutions to more advanced problems are given in considerable detail. Moreover, when advanced concepts are employed, they are discussed in the section preceding the problems. Useful in a variety of ways in high school and college curriculums, this challenging volume will be of particular interest to teachers dealing with gifted and advanced classes.
USA Through the Lens of Mathematics
by Natali Hritonenko Yuri YatsenkoThe main purpose of this captivating book is to help instructors in popularizing mathematics and other subjects by considering them in a unique multidisciplinary way. This integrative technique contributes to innovative teaching strategies to improving students’ critical and problem-solving skills and broadening their scientific vision and interdisciplinary knowledge. The authors motivate the simultaneous learning of mathematics and social studies by telling the story of the United States of America in an original, mathematically oriented way. The readers will discover practical reasoning behind mathematical concepts. This fascinating book exposes students to a novel educational strategy that aims to overcome fear of mathematics, reduce mathematical anxiety, and show the applicability of mathematics to everyday life and events. It is unique among mathematical books in its devotion to present facts and stories from the country’s heritage. The collection of 325 informative problems is designed to fit any abilities, background, and taste. Their solution requires only basic knowledge of algebra.
Utility-Based Learning from Data
by Craig Friedman Sven SandowUtility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used t
Utility Maximization in Nonconvex Wireless Systems
by Johannes BrehmerThis monograph develops a framework for modeling and solving utility maximization problems in nonconvex wireless systems. The first part develops a model for utility optimization in wireless systems. The model is general enough to encompass a wide array of system configurations and performance objectives. Based on the general model, a set of methods for solving utility maximization problems is developed in the second part of the book. The development is based on a careful examination of the properties that are required for the application of each method. This part focuses on problems whose initial formulation does not allow for a solution by standard methods and discusses alternative approaches. The last part presents two case studies to demonstrate the application of the proposed framework. In both cases, utility maximization in multi-antenna broadcast channels is investigated.
Utilization of Geospatial Information in Daily Life: Expression and Analysis of Dynamic Life Activity (New Frontiers in Regional Science: Asian Perspectives #65)
by Yoshihide Sekimoto Yasuhiro KawaharaThis book focuses on geospatial information in living spaces, providing many examples of its collection and use as well as discussing the problems of how it is used and its future prospects.Geospatial information science is in the process of evolving and being systematized, with the technical and usage aspects of the real world stimulating each other. This book systematizes the technical aspects of positioning; of geography, which manages and represents what is measured in units of earth coordinates; and of data science, which aims to efficiently express and process geographic information, all by introducing contemporary examples that are systematized with regard to their use in our living spaces. Examples of geospatial information used in almost all aspects of our lives, including urban areas, transportation, disaster prevention, health and medical care, agriculture, forestry and fisheries, culture, ecology, and topography, are presented, along with examples of their use in each area. One of the major features of this book is that it describes the use of data from earthquake disasters that is unique to Japan, as well as the use of open data and personal data in Japan, which is a trend that is gaining attention in many countries. In this way the book systematically describes events and circumstances in living spaces that are revealed by the expression and analysis of geospatial data, with case studies and discusses their use in the IoT era.
Utilization of Renormalized Mean-Field Theory upon Novel Quantum Materials (Springer Theses)
by Wei-Lin TuThis book offers a new approach to the long-standing problem of high-Tc copper-oxide superconductors. It has been demonstrated that starting from a strongly correlated Hamiltonian, even within the mean-field regime, the “competing orders” revealed by experiments can be achieved using numerical calculations. In the introduction, readers will find a brief review of the high-Tc problem and the unique challenges it poses, as well as a comparatively simple numerical approach, the renormalized mean-field theory (RMFT), which provides rich results detailed in the following chapters. With an additional phase picked up by the original Hamiltonian, some behaviors of interactive fermions under an external magnetic field, which have since been experimentally observed using cold atom techniques, are also highlighted.
V.A. Fock - Selected Works: Quantum Mechanics and Quantum Field Theory
by L. D. Faddeev L. A. Khalfin I. V. KomarovIn the period between the birth of quantum mechanics and the late 1950s, V.A. Fock wrote papers that are now deemed classics. In his works on theoretical physics, Fock not only skillfully applied advanced analytical and algebraic methods, but also systematically created new mathematical tools when existing approaches proved insufficient. This co
Validated Numerics: A Short Introduction to Rigorous Computations
by Warwick TuckerA comprehensive, self-contained primer on validated numericsThis textbook provides a comprehensive introduction to the theory and practice of validated numerics, an emerging new field that combines the strengths of scientific computing and pure mathematics. In numerous fields ranging from pharmaceutics and engineering to weather prediction and robotics, fast and precise computations are essential. Based on the theory of set-valued analysis, a new suite of numerical methods is developed, producing efficient and reliable solvers for numerous problems in nonlinear analysis. Validated numerics yields rigorous computations that can find all possible solutions to a problem while taking into account all possible sources of error—fast, and with guaranteed accuracy.Validated Numerics offers a self-contained primer on the subject, guiding readers from the basics to more advanced concepts and techniques. This book is an essential resource for those entering this fast-developing field, and it is also the ideal textbook for graduate students and advanced undergraduates needing an accessible introduction to the subject. Validated Numerics features many examples, exercises, and computer labs using MATLAB/C++, as well as detailed appendixes and an extensive bibliography for further reading.Provides a comprehensive, self-contained introduction to validated numericsRequires no advanced mathematics or programming skillsFeatures many examples, exercises, and computer labsIncludes code snippets that illustrate implementationSuitable as a textbook for graduate students and advanced undergraduates
Validity: An Integrated Approach to Test Score Meaning and Use
by Gregory J. CizekValidity is a clear, substantive introduction to the two most fundamental aspects of defensible testing practice: understanding test score meaning and justifying test score use. Driven by evidence-based and consensus-grounded measurement theory, principles, and terminology, this book addresses the most common questions of applied validation, the quality of test information, and the usefulness of test results. Concise yet comprehensive, this volume’s integrated framework is ideal for graduate courses on assessment, testing, psychometrics, and research methods as well as for credentialing organizations, licensure and certification entities, education agencies, and test publishers.
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies)
by Stefan Riezler Michael HagmannThis book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliability, and significance and provide common solutions based on statistical methodology to solve them. The book focuses on model-based empirical methods where data annotations and model predictions are treated as training data for interpretable probabilistic models from the well-understood families of generalized additive models (GAMs) and linear mixed effects models (LMEMs). Based on the interpretable parameters of the trained GAMs or LMEMs, the book presents model-based statistical tests such as a validity test that allows for the detection of circular features that circumvent learning. Furthermore, the book discusses a reliability coefficient using variance decomposition based on random effect parameters of LMEMs. Lastly, a significance test based on the likelihood ratios of nested LMEMs trained on the performance scores of two machine learning models is shown to naturally allow the inclusion of variations in meta-parameter settings into hypothesis testing, and further facilitates a refined system comparison conditional on properties of input data. The book is self-contained with an appendix on the mathematical background of generalized additive models and linear mixed effects models as well as an accompanying webpage with the related R and Python code to replicate the presented experiments. The second edition also features a new hands-on chapter that illustrates how to use the included tools in practical applications.
Valori trigonometrici esatti per tutti gli angoli e i poligoni
by Bhava Nath Dahal F. RossiValori trigonometrici esatti per tutti gli angoli interi e i poligoni. I valori esatti sono basati solo sulla radice di 2. Il metodo, denominato Precise - Rewritten, è nuovo rispetto al metodo classico della trigonometria.
Valuation and Volatility: Stakeholder's Perspective
by Dinabandhu BagThis textbook provides a first-hand account of impact of volatility on valuations. It focuses on valuation of the investment with fair, practical and insightful explanations. Volatility in markets can form the foundation of fair value. A marginal change in volatility has a significant impact on the effective cost of borrowing (capital). Portfolio managers, fund managers and corporates continue to watch as prices plunge due to volatility and can impose future restrictions on their skillful maneuver. The book highlights the approaches, design of tests, comparison and matching or making of models. It delves into techniques for measuring the contours and boundaries of risk and translating the losses to end impact. It explains the post facto and post period nuances to recover from money loss. The book further elaborates combining positions and hedging, to evaluate and choose to conduct tests of effectiveness. It provides guidance on benchmarks of portfolios, tax implications and carrying forward benefits of losses. The text includes examples and business use cases that build on analysis, common tools and highlights the end use of volatility for stakeholders.
Valuation of Network Effects in Software Markets: A Complex Networks Approach
by Andreas KemperThe customer base is an important value driver of software companies and a reliable prediction of its development is fundamental for investment decisions. A particularity in software markets is that an individual's purchasing decision is often influenced by other users' choices. Although such customer network effects are evident, their quantitative assessment remain elusive with conventional approaches. This book contributes to closing this gap by developing methods for measuring network effects and their implications for valuation in software markets. Based on the theory of complex networks the book reveals that such diffusion processes highly depend on structural properties of customer networks. Moreover, it depicts that such insights are contributions to improve the quality of valuations in software markets. But the implications of this research also comprise social and political aspects as they can be applied in order to prevent corporate failures in all network effect markets.
Value-Added Decision Making for Managers
by Kenneth Chelst Yavuz Burak CanbolatDeveloped from the authors' longstanding course on decision and risk analysis, Value-Added Decision Making for Managers explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of the best alternatives, enabling decision makers to
Value Change in Global Perspective
by Paul R. AbramsonIn this pioneering work, Paul R. Abramson and Ronald Inglehart show that the gradual shift from Materialist values (such as the desire for economic and physical security) to Post-materialist values (such as the desire for freedom, self-expression, and the quality of life) is in all likelihood a global phenomenon. Value Change in Global Perspectiveanalyzes over thirty years worth of national surveys in European countries and presents the most comprehensive and nuanced discussion of this shift to date. By paying special attention to the way generational replacement transforms values among mass publics, the authors are able to present a comprehensive analysis of the processes through which values change. In addition,Value Change in Global Perspectiveanalyzes the 1990-91 World Values Survey, conducted in forty societies representing over seventy percent of the world's population. These surveys cover an unprecedentedly broad range of the economic and political spectrum, with data from low-income countries (such as China, India, Mexico, and Nigeria), newly industrialized countries (such as South Korea) and former state-socialist countries in Eastern Europe and the former Soviet Union. This data adds significant new meaning to our understanding of attitude shifts throughout the world. Value Change in Global Perspectivehas been written to meet the needs of scholars and students alike. The use of percentage, percentage differences, and algebraic standardization procedures will make the results easy to understand and useful in courses in comparative politics and in public opinion. Paul R. Abramson is Professor of Political Science, Michigan State University. Ronald Inglehart is Professor of Political Science and Program Director, Institute for Social Research, University of Michigan.
Value Creation in Management Accounting and Strategic Management: An Integrated Approach
by Satoshi Sugahara Nabyla Daidj Sumitaka UshioThis book explores two combined approaches (strategy and accounting) from a cross-disciplinary perspective in order to improve knowledge of value creation in various contexts. Existing studies on this topic have generally adopted a purely account-based or strategy-oriented approach to address this issue. However, this book draws upon a number of well-defined theoretical and empirical backgrounds and methodologies. Since the 1980s, many changes have occurred and companies have increasingly focused their strategies on value creation. Consequently, new strategic directions have emerged, especially for managerial accounting. Management accounting and alignment with strategy could thus improve performance. This book encourages further thought and reflection on these issues which should be pursued in the future as firms face new challenges associated with the acceleration of digital transformation.
Value Functions on Simple Algebras, and Associated Graded Rings
by Jean-Pierre Tignol Adrian R. WadsworthThis monograph is the first book-length treatment of valuation theory on finite-dimensional division algebras, a subject of active and substantial research over the last forty years. Its development was spurred in the last decades of the twentieth century by important advances such as Amitsur's construction of non crossed products and Platonov's solution of the Tannaka-Artin problem. This study is particularly timely because it approaches the subject from the perspective of associated graded structures. This new approach has been developed by the authors in the last few years and has significantly clarified the theory. Various constructions of division algebras are obtained as applications of the theory, such as noncrossed products and indecomposable algebras. In addition, the use of valuation theory in reduced Whitehead group calculations (after Hazrat and Wadsworth) and in essential dimension computations (after Baek and Merkurjev) is showcased. The intended audience consists of graduate students and research mathematicians.
The Value of Information: Methodological Frontiers and New Applications in Environment and Health
by Molly K. Macauley Ramanan LaxminarayanThe book examines applications in two disparate fields linked by the importance of valuing information: public health and space. Researchers in the health field have developed some of the most innovative methodologies for valuing information, used to help determine, for example, the value of diagnostics in informing patient treatment decisions. In the field of space, recent applications of value-of-information methods are critical for informing decisions on investment in satellites that collect data about air quality, fresh water supplies, climate and other natural and environmental resources affecting global health and quality of life.
Value of Information for Healthcare Decision-Making (Chapman & Hall/CRC Biostatistics Series)
by Anna Heath Natalia Kunst Christopher JacksonValue of Information for Healthcare Decision-Making introduces the concept of Value of Information (VOI) use in health policy decision-making to determine the sensitivity of decisions to assumptions, and to prioritise and design future research. These methods, and their use in cost-effectiveness analysis, are increasingly acknowledged by health technology assessment authorities as vital. Key Features: Provides a comprehensive overview of VOI Simplifies VOI Showcases state-of-the-art techniques for computing VOI Includes R statistical software package Provides results when using VOI methods Uses realistic decision model to illustrate key concepts The primary audience for this book is health economic modellers and researchers, in industry, government, or academia, who wish to perform VOI analysis in health economic evaluations. It is relevant for postgraduate researchers and students in health economics or medical statistics who are required to learn the principles of VOI or undertake VOI analyses in their projects. The overall goal is to improve the understanding of these methods and make them easier to use.
The Value of Science: Essential Writings of Henri Poincare (Modern Library Science)
by Henri PoincaréMore than any other writer of the twentieth century, Henri Poincaré brought the elegant, but often complicated, ideas about science and mathematics to the general reader. A genius who throughout his life solved complex mathematical calculations in his head, and a writer gifted with an inimitable style, Poincaré rose to the challenge of interpreting the philosophy of science to scientists and nonscientists alike. His lucid and welcoming prose made him the Carl Sagan of his time. This volume collects his three most important books: Science and Hypothesis (1903); The Value of Science (1905); and Science and Method (1908).