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Safety-Centric Operations Research: A Multidisciplinary Approach to Managing Risk in Complex Systems (Studies in Systems, Decision and Control #232)
by Mohammad YazdiThis book offers a pioneering exploration into the integration of safety considerations with operations research, providing a vital toolkit for enhancing decision-making processes in hazardous industries. It delivers comprehensive insights and innovative methodologies to foster safety-centric planning and operations across various sectors. As the complexities of modern industries increase, so does the potential for operational risks. This book addresses this challenge by merging rigorous safety analysis with the quantitative sophistication of operations research. This book aims to create safer working environments and more resilient operational frameworks. The book is divided into several key sections, each focusing on different aspects of operations research applied to safety. Initial chapters lay a theoretical foundation, discussing mathematical models and statistical methods that prioritize safety. Subsequent sections delve into specific applications within supply chain management, transportation logistics, and production planning, illustrating how these methods can be practically applied to reduce risks and enhance operational safety. Advanced topics covered include the application of machine learning and artificial intelligence to predict and mitigate potential hazards and the use of simulation techniques to model and manage operational risks. Real-world case studies are presented to show the practical implementation of these theories in industries such as manufacturing, health care, and energy, providing readers with actionable insights and proven strategies. Additionally, the book examines the cultural and behavioral aspects of safety in operations, emphasizing the importance of building a robust safety culture and integrating human factors into safety planning. Ethical and regulatory dimensions are also explored to guide practitioners in navigating the complex legal landscapes that govern safety in various industries. This book is an essential resource for students, researchers, and professionals in operations research and management, especially those involved in planning and executing operations in safety-critical sectors. It is particularly relevant for those who aim to blend technical proficiency with practical safety solutions to solve real-world challenges in operations&’ management.
Safety Dynamics: Evaluating Risk in Complex Industrial Systems (Advanced Sciences and Technologies for Security Applications)
by Franck Guarnieri Emmanuel GarbolinoThis book describes a systematic approach to risk assessment for complex socio-technical systems like industrial processes, especially innovative ones. It provides an overview of applications of system dynamics theory and methodologies on industrial systems in order to demonstrate the relevance of such an approach in helping to assess risks in such complex systems. An important feature of this approach is that it takes into account the dynamic of the interactions of the components (technical, human and organizational ones) in order to study and simulate the behavior of the system. This methodology helps to define the failures and/or accident scenarios and to implement and test the prevention and protection barriers. This book is of particular interest to students and teachers at university level (Master and Doctorate) and to engineers interested in risk analysis and management.
Sage Beginner's Guide
by Craig FinchThis is a beginner's guide with clear step-by-step instructions, explanations, and advice. Each concept is illustrated with a complete example that you can use as a starting point for your own work. If you are an engineer, scientist, mathematician, or student, this book is for you. To get the most from Sage by using the Python programming language, we'll give you the basics of the language to get you started. For this, it will be helpful if you have some experience with basic programming concepts.
The SAGE Dictionary of Quantitative Management Research
by Luiz Moutinho Graeme HutchesonA must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries covering the fundamentals of quantitative methodologies; covering both analysis and implementation and examples of use, as well as detailed graphics to aid understanding. Every entry features: -An introduction to the topic, -Key relevant features, -A worked example, -A concise summary and a selection of further reading suggestions -Cross-references to associated concepts within the dictionary
Salesforce CRM - The Definitive Admin Handbook: Build, configure, and customize Salesforce CRM and mobile solutions, 5th Edition
by Paul GoodeyA definitive guide covering all the core concepts necessary to pass the Salesforce Administrator Certification examKey FeaturesUnderstand critical design considerations for setting up Salesforce CRMFacilitate and manage the transition from Salesforce Classic to Lightning ExperienceLearn key functions of application security to manage user profiles and dataBook DescriptionSalesforce’s winter ’19 release offers a host of new features for CRM designed to meet your sales and marketing requirements. With this comprehensive guide to implementing Salesforce CRM, administrators of all levels can easily get a thorough understanding of the platform.This Salesforce handbook begins by guiding you in setting up users and security and then progresses to configuration, data management, and data analytics. You’ll discover process automation and approval mechanisms, while also exploring the functional areas of Sales Cloud, Service Cloud, Marketing Cloud, and Salesforce Chatter. This book covers Salesforce CRM system administration in a practical way, and it’ll serve as an invaluable reference for both new administrators and experienced professionals. Furthermore, you’ll also delve into Salesforce mobile apps and mobile administration, along with Salesforce Adoption Manager. You’ll gain insights into Lightning Experience, Salesforce's new app, and learn how its modern design and sleek interface helps you to build customizable components. Finally, we'll see how the two versions compare and help manage the transition from Salesforce Classic to Lightning Experience. By the end of the book, you will have mastered the techniques to configure and control various user interface features in Salesforce CRM.What you will learnConfigure a variety of user interface features in Salesforce CRMUnderstand the capabilities of the Salesforce CRM sharing modelExplore Einstein Analytics - Salesforce's new wave of advanced reporting Get to grips with the Lightning Process Builder workflowSet up user profiles, security, and login access mechanismsFind out how Apex and Visualforce coding can be used in Salesforce CRMManage the transition from Salesforce Classic to Lightning ExperienceImplement data manipulation features to apply best practices in data managementWho this book is forThis book is for administrators who want to develop and strengthen their Salesforce CRM skills in the areas of configuration and system management. Whether you are a new or experienced professional, this book will enhance your knowledge and understanding of Salesforce CRM features.
Salesforce Process Builder Quick Start Guide: Build complex workflows by clicking, not coding
by Rakesh GuptaClick your way to automating business processes with Salesforce Visual WorkflowKey FeaturesCreate and maintain complex business processes using Process builderDiscover how to debug and deploy Flow and Process BuilderUse new or existing Flows to work with Salesforce Lightning ExperienceBook DescriptionSalesforce Management System is an information system used in CRM to automate business processes, such as sales and marketing. Process Builder is a visual tool created to automate business processes in Salesforce. It enables users with no coding expertise to build complex Salesforce workflows.The book starts with an introduction to Process Builder, focussing on the building blocks of creating Processes. Then you will learn about different applications of Process Builder for developing streamlined solutions. You will learn how to easily automate business processes and tackle complex business scenarios using Processes. The book explains the workings of the Process Builder so that you can create reusable processes. It also explains how you can migrate existing Workflow Rules to Process Builder.By the end of the book, you will have a clear understanding of how to use Flows and Process Builder to optimize code usage.What you will learnDevelop an application using point and click with the help of Process BuilderBypass Processes for specific usersUnderstand the concepts of reusable processesHandle complex business processes using Process Builder and keep them cleanWork with formulae in Process Builder to minimize the code requiredCreate a process with no criteria so as to minimize the amount of reworkOvercome Salesforce's known limitation in terms of referencing picklist valuesWho this book is forThis book is for people who want to use Process Builder to automate their business requirements by clicking, not coding. A basic understanding of Salesforce is required, but not extensive programming knowledge.
Same But Different Math: Helping Students Connect Concepts, Build Number Sense, and Deepen Understanding
by Sue LooneySame But Different Math is a powerful routine to help students improve their mathematical reasoning, clarify concepts and make critical connections between ideas. Popular math consultant Sue Looney takes you step by step through implementation so you can easily add this routine into your toolbox. She establishes the rationale for the routine and then walks you through specific examples of when to use it, how to use it and how to make specific connections for learners. Throughout the book, you’ll find examples of lessons with images from a range of grade levels and mathematical content to show you the routine in action. There are also exercises for you to complete while reading to help you apply what you’ve learned, as well as a handy planning section with a template and resource links. In addition, there are Appendices featuring additional examples, which you can download from our website www.routledge.com/9781032126555 for classroom use. With the helpful features in this book, you’ll come away confidently able to implement this routine, bringing all your students to deeper levels of understanding in math.
Same-Sex Families and Legal Recognition in Europe (European Studies of Population #24)
by Marie DigoixThis open access book focuses on family diversity from a legal, demographical and sociological perspective. It investigates what is at stake in the life of homosexuals in the field of family formation, parenting and parenthood, what it brings to everyday life, the support of the law, and what its absence implies. The book shows the paths leading to the adoption of laws while demographic analyses concentrate on the link between registration of same-sex marriages and same-sex parenting with a detailed focus on Spain. The sociological chapters in this book, based upon qualitative surveys in France, Iceland and Italy, underline how the importance of the legal structure influenced the daily life of homosexual families. As such this book is an interesting read to lawyers, demographers, sociologists, behavioural scientists, and all those working in the field.
Sample Hindi Math
by Test FileThis is a test file to demonstrate the conversion of MathML to Word and Daisy with Images files.
Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research (Chapman & Hall/CRC Biostatistics Series #71)
by Song Zhang Chul Ahn Moonseoung HeoAccurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results in the efficient use of resources and avoids exposing a disproportionate number of patients to experimental treatments caused by an overpowered study. Sample Size Calculations for Clustered and Longitudinal Outcom
Sample Size Calculations in Clinical Research (Chapman & Hall/CRC Biostatistics Series)
by Shein-Chung Chow Jun Shao Hansheng Wang Yuliya LokhnyginaPraise for the Second Edition: "… this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics "This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered …" – Journal of the Royal Statistical Society Sample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation. Features: Compares the relative merits and disadvantages of statistical methods for sample size calculations Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation.
Sample Size Choice: Charts for Experiments with Linear Models, Second Edition
by Robert E. Odeh Martin FoxA guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione
Sample Size Determination and Power
by Thomas P. RyanA comprehensive approach to sample size determination and power with applications for a variety of fieldsSample Size Determination and Power features a modern introduction to the applicability of sample size determination and provides a variety of discussions on broad topics including epidemiology, microarrays, survival analysis and reliability, design of experiments, regression, and confidence intervals.The book distinctively merges applications from numerous fields such as statistics, biostatistics, the health sciences, and engineering in order to provide a complete introduction to the general statistical use of sample size determination. Advanced topics including multivariate analysis, clinical trials, and quality improvement are addressed, and in addition, the book provides considerable guidance on available software for sample size determination. Written by a well-known author who has extensively class-tested the material, Sample Size Determination and Power: Highlights the applicability of sample size determination and provides extensive literature coveragePresents a modern, general approach to relevant software to guide sample size determination including CATD (computer-aided trial design)Addresses the use of sample size determination in grant proposals and provides up-to-date references for grant investigatorsAn appealing reference book for scientific researchers in a variety of fields, such as statistics, biostatistics, the health sciences, mathematics, ecology, and geology, who use sampling and estimation methods in their work, Sample Size Determination and Power is also an ideal supplementary text for upper-level undergraduate and graduate-level courses in statistical sampling.
Sample Size Determination in Clinical Trials with Multiple Endpoints
by Takashi Sozu Tomoyuki Sugimoto Toshimitsu Hamasaki Scott R. EvansThis book integrates recent methodological developments for calculating the sample size and power in trials with more than one endpoint considered as multiple primary or co-primary, offering an important reference work for statisticians working in this area. The determination of sample size and the evaluation of power are fundamental and critical elements in the design of clinical trials. If the sample size is too small, important effects may go unnoticed; if the sample size is too large, it represents a waste of resources and unethically puts more participants at risk than necessary. Recently many clinical trials have been designed with more than one endpoint considered as multiple primary or co-primary, creating a need for new approaches to the design and analysis of these clinical trials. The book focuses on the evaluation of power and sample size determination when comparing the effects of two interventions in superiority clinical trials with multiple endpoints. Methods for sample size calculation in clinical trials where the alternative hypothesis is that there are effects on ALL endpoints are discussed in detail. The book also briefly examines trials designed with an alternative hypothesis of an effect on AT LEAST ONE endpoint with a prespecified non-ordering of endpoints.
Sampled-data Control of Logical Networks
by Yang Liu Jianquan Lu Liangjie SunThis book mainly focuses on the sampled-data control of logical networks. We believe that the methods (semi-tensor product of matrices), results (recent results on Boolean control networks under periodic sampled-data control, Boolean control networks under aperiodic sampled-data control, and logical control networks under event-triggered control) and topics (logical networks) in this book have become of particular interest to readers recently. Firstly, logical networks are of interest due to their rich range of applications in biology, game theory, coding, finite automata, graph theory, and other fields. Secondly, semi-tensor product of matrices offers a useful tool for formulating, analyzing and designing controllers for logical networks. Moreover, this book is the first to introduce sampled-data control into the study of logical control networks. All research results in this book are novel and worthy of further study. The book’s content is divided into three parts (Boolean control networks under periodic sampled-data control, Boolean control networks under aperiodic sampled-data control, and logical control networks under event-triggered control), which essentially progress from easier to more difficult. In addition, corresponding examples and diagrams are included in each section to facilitate understanding.
Sampled-Data Models for Linear and Nonlinear Systems
by Juan I. Yuz Graham C. GoodwinSampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates being as high as they are, it is becoming more appropriate to emphasise connections and similarities. The text is driven by three motives: · the ubiquity of computers in modern control and signal-processing equipment means that sampling of systems that really evolve continuously is unavoidable; · although superficially straightforward, sampling can easily produce erroneous results when not treated properly; and · the need for a thorough understanding of many aspects of sampling among researchers and engineers dealing with applications to which they are central. The authors tackle many misconceptions which, although appearing reasonable at first sight, are in fact either partially or completely erroneous. They also deal with linear and nonlinear, deterministic and stochastic cases. The impact of the ideas presented on several standard problems in signals and systems is illustrated using a number of applications. Academic researchers and graduate students in systems, control and signal processing will find the ideas presented in Sampled-data Models for Linear and Nonlinear Systems to be a useful manual for dealing with sampled-data systems, clearing away mistaken ideas and bringing the subject thoroughly up to date. Researchers in statistics and economics will also derive benefit from the reworking of ideas relating a model derived from data sampling to an original continuous system.
A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing
by Daniel Cohen-Or Chen Greif Tao Ju Niloy J. Mitra Ariel Shamir Olga Sorkine-Hornung Hao Richard ZhangA Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing shows how to use a collection of mathematical techniques to solve important problems in applied mathematics and computer science areas. The book discusses fundamental tools in analytical geometry and linear algebra. It covers a wide range of topics
Samples and Population: Data and Statistics (Texas)
by Glenda Lappan James T. Fey William M. Fitzgerald Susan N. Friel Elizabeth Difanis PhillipsNIMAC-sourced textbook
Samples and Populations, Data and Statistics
by Glenda Lappan James T. Fey William M. FitzgeraldNIMAC-sourced textbook
Sampling: Design and Analysis (Chapman & Hall/CRC Texts in Statistical Science)
by Sharon L. LohrWhat is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com. This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission.
Sampling: Design and Analysis (Chapman & Hall/CRC Texts in Statistical Science)
by Sharon L. Lohr"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years… I would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University) What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis, Third Edition shows you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics. The third edition, thoroughly revised to incorporate recent research and applications, includes a new chapter on nonprobability samples—when to use them and how to evaluate their quality. More than 200 new examples and exercises have been added to the already extensive sets in the second edition. SDA’s companion website contains data sets, computer code, and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides—with code, annotated output, and helpful tips—for working through the SDA examples. Instructors can use either R or SAS® software. SAS® Software Companion for Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (2022, CRC Press) R Companion for Sampling: Design and Analysis, Third Edition by Yan Lu and Sharon L. Lohr (2022, CRC Press)
Sampling: A Centennial Celebration of Claude Shannon (Applied and Numerical Harmonic Analysis)
by Michael Robinson Kasso A. Okoudjou Stephen D. Casey Brian M. SadlerThe chapters of this volume are based on talks given at the eleventh international Sampling Theory and Applications conference held in 2015 at American University in Washington, D.C. The papers highlight state-of-the-art advances and trends in sampling theory and related areas of application, such as signal and image processing. Chapters have been written by prominent mathematicians, applied scientists, and engineers with an expertise in sampling theory. Claude Shannon’s 100th birthday is also celebrated, including an introductory essay that highlights Shannon’s profound influence on the field. The topics covered include both theory and applications, such as:Compressed sensingNon-uniform and wave samplingA-to-D conversionFinite rate of innovationComputational neuroscienceTime-frequency analysisOperator theoryMobile sampling issuesSampling: Theory and Applications is ideal for mathematicians, engineers, and applied scientists working in sampling theory or related areas.
Sampling
by Steven K. ThompsonMathFeatures new developments in the field combined with all aspects of obtaining, interpreting, and using sample data. Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive new material--sections, exercises, and examples--throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more. Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs.Featuring a broad range of topics, Sampling, Third Edition serves as a valuable reference on useful sampling and estimation methods for researchers in various fields of study, including biostatistics, ecology, and the health sciences. The book is also ideal for courses on statistical sampling at the upper-undergraduate and graduate levels.
Sampling and Estimation from Finite Populations (Wiley Series in Survey Methodology)
by Yves TilleA much-needed reference on survey sampling and its applications that presents the latest advances in the field Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions. Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more. Provides an up-to-date review of the theory of sampling Discusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworks Reviews the problems of application of the theory into practice Also deals with the treatment of non sampling errors Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.
Sampling, Approximation, and Signal Analysis: Harmonic Analysis in the Spirit of J. Rowland Higgins (Applied and Numerical Harmonic Analysis)
by Stephen D. Casey M. Maurice Dodson Paulo J. S. G. Ferreira Ahmed ZayedDuring his long and distinguished career, J. Rowland Higgins (1935-2020) made a substantial impact on many mathematical fields through his work on sampling theory, his deep knowledge of its history, and his service to the community. This volume is a tribute to his work and legacy, featuring chapters written by distinguished mathematicians that explore cutting-edge research in sampling, approximation, signal analysis, and other related areas. An introductory chapter provides a biography of Higgins that explores his rich and unique life, along with a bibliography of his papers; a brief history of the SampTA meetings – of which he was a Founding Member – is also included. The remaining articles are grouped into four sections – classical sampling, theoretical extensions, frame theory, and applications of sampling theory – and explore Higgins’ contributions to these areas, as well as some of the latest developments.