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Analyzing and Modeling Data and Knowledge: Proceedings of the 15th Annual Conference of the “Gesellschaft für Klassifikation e.V.“, University of Salzburg, February 25–27, 1991 (Studies in Classification, Data Analysis, and Knowledge Organization)
by Martin Schader
Analyzing and Theorizing the Dynamics of the Workplace Incivility Crisis (SpringerBriefs in Psychology #8)
by Michael LeiterContemporary worklife builds upon a foundation for teamwork among skilled and dedicated people. Despite the utility of supportive working relationships and despite extensive consulting activity on leadership and team building, employees complain extensively about mistreatment by their bosses and colleagues. Analyzing and Theorizing the Dynamics of the Workplace Incivility Crisis presents a theoretic framework for considering the fundamental issues of group dynamics and individual psychology that lie behind this ongoing workplace incivility crisis. It contextualizes the need for belonging as a motivation that shapes expressed social behaviour and intensifies received social behaviour. Looking at cognitive elements as well as rudeness rationales that pertain to workplace incivility and its justification, this work maps social constructs, including the role of team leadership, that lead to setting implicit social norms. In addition to formulating a theoretical framework, Analyzing and Theorizing the Dynamics of the Workplace Incivility Crisis considers methods to address the dynamics that perpetuate incivility at work and actively points at setting an action agenda to evaluate their impact.
Analyzing Categorical Data (Springer Texts in Statistics)
by Jeffrey S. SimonoffCategorical data arise often in many fields, including biometrics, economics, management, manufacturing, marketing, psychology, and sociology. This book provides an introduction to the analysis of such data. The coverage is broad, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology. Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categories; and regression models for two-category (binary) and multiple-category target variables, such as logistic and proportional odds models. All methods are illustrated with analyses of real data examples, many from recent subject area journal articles. These analyses are highlighted in the text, and are more detailed than is typical, providing discussion of the context and background of the problem, model checking, and scientific implications. More than 200 exercises are provided, many also based on recent subject area literature. Data sets and computer code are available at a web site devoted to the text. Adopters of this book may request a solutions manual from: textbook@springer-ny.com. From the reviews: "Jeff Simonoff's book is at the top of the heap of categorical data analysis textbooks...The examples are superb. Student reactions in a class I taught from this text were uniformly positive, particularly because of the examples and exercises. Additional materials related to the book, particularly code for S-Plus, SAS, and R, useful for analysis of examples, can be found at the author's Web site at New York University. I liked this book for this reason, and recommend it to you for pedagogical purposes." (Stanley Wasserman, The American Statistician, August 2006, Vol. 60, No. 3) "The book has various noteworthy features. The examples used are from a variety of topics, including medicine, economics, sports, mining, weather, as well as social aspects like needle-exchange programs. The examples motivate the theory and also illustrate nuances of data analytical procedures. The book also incorporates several newer methods for analyzing categorical data, including zero-inflated Poisson models, robust analysis of binomial and poisson models, sandwich estimators, multinomial smoothing, ordinal agreement tables…this is definitely a good reference book for any researcher working with categorical data." Technometrics, May 2004 "This guide provides a practical approach to the appropriate analysis of categorical data and would be a suitable purchase for individuals with varying levels of statistical understanding." Paediatric and Perinatal Epidemiology, 2004, 18 "This book gives a fresh approach to the topic of categorical data analysis. The presentation of the statistical methods exploits the connection to regression modeling with a focus on practical features rather than formal theory...There is much to learn from this book. Aside from the ordinary materials such as association diagrams, Mantel-Haenszel estimators, or overdispersion, the reader will also find some less-often presented but interesting and stimulating topics...[T]his is an excellent book, giving an up-to-date introduction to the wide field of analyzing categorical data." Biometrics, September 2004 "...It is of great help to data analysts, practitioners and researchers who deal with categorical data and need to get a necessary insight into the methods of analysis as well as practical guidelines for solving problems." International Journal of General Systems, August 2004 "The author has succeeded in writing a useful and readable textbook combining most of general theory and practice of count data." Kwantitatieve Methoden "The book especially stresses how to analyze and interpret data...In fact, the highly detailed mult
Analyzing Computer System Performance with Perl::PDQ
by Neil J. GuntherTo solve performance problems in modern computing infrastructures, often comprising thousands of servers running hundreds of applications, spanning multiple tiers, you need tools that go beyond mere reporting. You need tools that enable performance analysis of application workflow across the entire enterprise. That's what PDQ (Pretty Damn Quick) provides. PDQ is an open-source performance analyzer based on the paradigm of queues. Queues are ubiquitous in every computing environment as buffers, and since any application architecture can be represented as a circuit of queueing delays, PDQ is a natural fit for analyzing system performance. Building on the success of the first edition, this considerably expanded second edition now comprises four parts. Part I contains the foundational concepts, as well as a new first chapter that explains the central role of queues in successful performance analysis. Part II provides the basics of queueing theory in a highly intelligible style for the non-mathematician; little more than high-school algebra being required. Part III presents many practical examples of how PDQ can be applied. The PDQ manual has been relegated to an appendix in Part IV, along with solutions to the exercises contained in each chapter.Throughout, the Perl code listings have been newly formatted to improve readability. The PDQ code and updates to the PDQ manual are available from the author's web site at www.perfdynamics.com
Analyzing Computer System Performance with Perl::PDQ
by Neil J. GuntherMakes performance analysis and queueing theory concepts simple to understand and available to anyone with a background in high school algebra Presents the practical application of these concepts in the context of modern, distributed, computer system designs Packed with helpful examples that are based on the author's experience analyzing the performance of large-scale systems over the past 20 years.
Analyzing Demand Behavior: A Study of Energy Elasticities (RFF Energy Policy Set)
by Douglas R. BohiFirst Published in 2011. Routledge is an imprint of Taylor & Francis, an informa company.
Analyzing Demand Behavior: A Study of Energy Elasticities (RFF Energy Policy Set)
by Douglas R. BohiFirst Published in 2011. Routledge is an imprint of Taylor & Francis, an informa company.
Analyzing Dependent Data with Vine Copulas: A Practical Guide With R (Lecture Notes in Statistics #222)
by Claudia CzadoThis textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula models can successfully accommodate any form of tail dependence and are vital to many applications in finance, insurance, hydrology, marketing, engineering, chemistry, aviation, climatology and health.The book explains the pair-copula construction principles underlying these statistical models and discusses how to perform model selection and inference. It also derives simulation algorithms and presents real-world examples to illustrate the methodological concepts. The book includes numerous exercises that facilitate and deepen readers’ understanding, and demonstrates how the R package VineCopula can be used to explore and build statistical dependence models from scratch. In closing, the book provides insights into recent developments and open research questions in vine copula based modeling.The book is intended for students as well as statisticians, data analysts and any other quantitatively oriented researchers who are new to the field of vine copulas. Accordingly, it provides the necessary background in multivariate statistics and copula theory for exploratory data tools, so that readers only need a basic grasp of statistics and probability.
Analyzing Efficiency & Managerial Performance: Using Sensitivity Scores of DEA Models
by Shan LiThis study was initially the author’s Ph.D dissertation written at the University of Texas at Austin in 1995 entitled “A New Approach to Sensitivity Analysis of the DEA Models and their Applications to Ranking and Productivity Growth.” An updated preface and a general index were added for this book which was originally published in 1996. The primary objective of this study is to demonstrate a new method available to management scientists for evaluating the organizational efficiency performance and analyzing how stable the evaluations are to the sample data collections.
Analyzing Efficiency & Managerial Performance: Using Sensitivity Scores of DEA Models
by Shan LiThis study was initially the author’s Ph.D dissertation written at the University of Texas at Austin in 1995 entitled “A New Approach to Sensitivity Analysis of the DEA Models and their Applications to Ranking and Productivity Growth.” An updated preface and a general index were added for this book which was originally published in 1996. The primary objective of this study is to demonstrate a new method available to management scientists for evaluating the organizational efficiency performance and analyzing how stable the evaluations are to the sample data collections.
Analyzing Event Statistics in Corporate Finance: Methodologies, Evidences, and Critiques
by Jau-Lian JengAnalyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance. In contrast to conventional surveys or literature reviews, Jeng focuses on various methodological defects or deficiencies that lead to inaccurate empirical results, which ultimately produce bad corporate policies. This work discusses the issues of data collection and structure, the recursive smoothing for systematic components in excess returns, the choices of event windows, different time horizons for the events, and the consequences of applications of different methodologies. In providing improvement for event studies in corporate finance, and based on the fact that changes in parameters for financial time series are common knowledge, a new alternative methodology is developed to extend the conventional analysis to more robust arguments.
Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)
by Clifford S. AngThis book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis.This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student.Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.
Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)
by Clifford S. AngThis advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely and practical issues in financial modelling are covered including return and risk measurement, portfolio management, option pricing and fixed income analysis. This new edition updates and expands upon the existing material providing updated examples and new chapters on equities, simulation and trading strategies, including machine learnings techniques. Select data sets are available online.
Analyzing Form, Function, and Financing of the U.S. Health Care System
by Paula Stamps DustonAnalyzing Form, Function, and Financing of the U.S. Health Care System tells the story of the U.S. health care system by using a narrative approach identifying function rather than the more common data-driven focus on structure. It presents policy decisions we have made about our health care system and analyzes some of their consequences to better
Analyzing Form, Function, and Financing of the U.S. Health Care System
by Paula Stamps DustonAnalyzing Form, Function, and Financing of the U.S. Health Care System tells the story of the U.S. health care system by using a narrative approach identifying function rather than the more common data-driven focus on structure. It presents policy decisions we have made about our health care system and analyzes some of their consequences to better
Analyzing Modern Business Cycles: Essays Honoring
by Philip A KleinThis title was first published in 1990.
Analyzing Modern Business Cycles: Essays Honoring
by Philip A KleinThis title was first published in 1990.
Analyzing Multidimensional Well-Being: A Quantitative Approach
by Satya R. Chakravarty“An indispensable reference for all researchers interested in the measurement of social welfare. . .” —François Bourguignon, Emeritus Professor at Paris School of Economics, Former Chief Economist of the World Bank. “. . .a detailed, insightful, and pedagogical presentation of the theoretical grounds of multidimensional well-being, inequality, and poverty measurement. Any student, researcher, and practitioner interested in the multidimensional approach should begin their journey into such a fascinating theme with this wonderful book.” —François Maniquet, Professor, Catholic University of Louvain, Belgium. A Review of the Multidimensional Approaches to the Measurement of Welfare, Inequality, and Poverty Analyzing Multidimensional Well-Being: A Quantitative Approach offers a comprehensive approach to the measurement of well-being that includes characteristics such as income, health, literacy, and housing. The author presents a systematic comparison of the alternative approaches to the measurement of multidimensional welfare, inequality, poverty, and vulnerability. The text contains real-life applications of some multidimensional aggregations (most of which have been designed by international organizations such as the United Nations Development Program and the Organization for Economic Co-operation and Development) that help to judge the performance of a country in the various dimensions of well-being. The text offers an evaluation of how well a society is doing with respect to achievements of all the individuals in the dimensions considered and clearly investigates how achievements in the dimensions can be evaluated from different perspectives. The author includes a detailed scrutiny of alternative techniques for setting weights to individual dimensional metrics and offers an extensive analysis into both the descriptive and welfare theoretical approaches to the concerned multi-attribute measurement and related issues. This important resource: • Contains a synthesis of multidimensional welfare, inequality, poverty, and vulnerability analysis • Examines aggregations of achievement levels in the concerned dimensions of well-being from various standpoints • Shows how to measure poverty using panel data instead of restricting attention to a single period and when we have imprecise information on dimensional achievements • Argues that multidimensional analysis is intrinsically different from marginal distributions-based analysis Written for students, teachers, researchers, and scholars, Analyzing Multidimensional Well-Being: A Quantitative Approach puts the focus on various approaches to the measurementof the many aspects of well-being and quality of life. Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He is an Editor of Social Choice and Welfare and a member of the Editorial Board of Journal of Economic Inequality.
Analyzing Multidimensional Well-Being: A Quantitative Approach
by Satya R. Chakravarty“An indispensable reference for all researchers interested in the measurement of social welfare. . .” —François Bourguignon, Emeritus Professor at Paris School of Economics, Former Chief Economist of the World Bank. “. . .a detailed, insightful, and pedagogical presentation of the theoretical grounds of multidimensional well-being, inequality, and poverty measurement. Any student, researcher, and practitioner interested in the multidimensional approach should begin their journey into such a fascinating theme with this wonderful book.” —François Maniquet, Professor, Catholic University of Louvain, Belgium. A Review of the Multidimensional Approaches to the Measurement of Welfare, Inequality, and Poverty Analyzing Multidimensional Well-Being: A Quantitative Approach offers a comprehensive approach to the measurement of well-being that includes characteristics such as income, health, literacy, and housing. The author presents a systematic comparison of the alternative approaches to the measurement of multidimensional welfare, inequality, poverty, and vulnerability. The text contains real-life applications of some multidimensional aggregations (most of which have been designed by international organizations such as the United Nations Development Program and the Organization for Economic Co-operation and Development) that help to judge the performance of a country in the various dimensions of well-being. The text offers an evaluation of how well a society is doing with respect to achievements of all the individuals in the dimensions considered and clearly investigates how achievements in the dimensions can be evaluated from different perspectives. The author includes a detailed scrutiny of alternative techniques for setting weights to individual dimensional metrics and offers an extensive analysis into both the descriptive and welfare theoretical approaches to the concerned multi-attribute measurement and related issues. This important resource: • Contains a synthesis of multidimensional welfare, inequality, poverty, and vulnerability analysis • Examines aggregations of achievement levels in the concerned dimensions of well-being from various standpoints • Shows how to measure poverty using panel data instead of restricting attention to a single period and when we have imprecise information on dimensional achievements • Argues that multidimensional analysis is intrinsically different from marginal distributions-based analysis Written for students, teachers, researchers, and scholars, Analyzing Multidimensional Well-Being: A Quantitative Approach puts the focus on various approaches to the measurementof the many aspects of well-being and quality of life. Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He is an Editor of Social Choice and Welfare and a member of the Editorial Board of Journal of Economic Inequality.
Analyzing Music in Advertising: Television Commercials and Consumer Choice (Routledge Interpretive Marketing Research)
by Nicolai GraakjaerThe study of music in commercials is well-suited for exploring the persuasive impact that music has beyond the ability to entertain, edify, and purify its audience. This book focuses on music in commercials from an interpretive text analytical perspective, answering hitherto neglected questions: What characterizes music in commercials compared to other commercial music and other music on TV? How does music in commercials relate to music ‘outside’ the universe of commercials? How and what can music in commercials signify? Author Nicolai Graakjær sets a new benchmark for the international scholarly study of music on television and its pervading influence on consumer choice.
Analyzing Music in Advertising: Television Commercials and Consumer Choice (Routledge Interpretive Marketing Research)
by Nicolai GraakjaerThe study of music in commercials is well-suited for exploring the persuasive impact that music has beyond the ability to entertain, edify, and purify its audience. This book focuses on music in commercials from an interpretive text analytical perspective, answering hitherto neglected questions: What characterizes music in commercials compared to other commercial music and other music on TV? How does music in commercials relate to music ‘outside’ the universe of commercials? How and what can music in commercials signify? Author Nicolai Graakjær sets a new benchmark for the international scholarly study of music on television and its pervading influence on consumer choice.
Analyzing Operations in Business: Issues, Tools, and Techniques
by Michael R. SummersThe field of operations management is increasingly recognized as being crucial to the success of a company. The premise of this book is that learning specific analytical techniques can provide a deeper understanding of the problems in operations management than merely reading about these problems. The book is concise while still providing a broad discussion of the issues and details to learn these valuable tools.Each problem area is introduced with an overview of the issues that must be addressed and the array of tools available to analyze them. Next, detailed examples are presented. Through these examples, the ramifications of the various approaches and the tradeoffs that must be considered when choosing one approach over another are explored. The book is a valuable resource for researchers, students, and business practitioners.
Analyzing Organization Cultures (Routledge Studies in Management, Organizations and Society)
by Bruce FortadoCertain consultants argue leaders can quickly, easily, and considerably alter their organization cultures to improve performance. Conversely, field researchers have described situations where leaders could do little to alter the existing organization culture. Between these extreme positions, a spectrum of varying degrees of leader influence exists, and organizations fall at various places along this spectrum. This book presents five field studies dealing with team, service, and sales cultures where both expected and unexpected outcomes arose. In multiple instances, leaders hoped showing some employee appreciation would compensate for offering below market average wages. Several leadership groups were prospering based on cost cuts or increased sales. Those below often had their work intensified and they were experiencing greater stress. Eight paradoxical situations were uncovered and the interpretations of the participants were based in part on their personal work histories and the history of their current organization. In each case, evidence of employee informal organization and managerial operating cultures were documented. Analyzing Organization Cultures uses detailed case studies of five work organizations to offer a comparative approach to analyzing organizational culture. It shows the latest state of knowledge on the topic and will be of interest to researchers, academics, and students in the fields of organizational studies, management history, human resource management, and organizational theory.
Analyzing Organization Cultures (Routledge Studies in Management, Organizations and Society)
by Bruce FortadoCertain consultants argue leaders can quickly, easily, and considerably alter their organization cultures to improve performance. Conversely, field researchers have described situations where leaders could do little to alter the existing organization culture. Between these extreme positions, a spectrum of varying degrees of leader influence exists, and organizations fall at various places along this spectrum. This book presents five field studies dealing with team, service, and sales cultures where both expected and unexpected outcomes arose. In multiple instances, leaders hoped showing some employee appreciation would compensate for offering below market average wages. Several leadership groups were prospering based on cost cuts or increased sales. Those below often had their work intensified and they were experiencing greater stress. Eight paradoxical situations were uncovered and the interpretations of the participants were based in part on their personal work histories and the history of their current organization. In each case, evidence of employee informal organization and managerial operating cultures were documented. Analyzing Organization Cultures uses detailed case studies of five work organizations to offer a comparative approach to analyzing organizational culture. It shows the latest state of knowledge on the topic and will be of interest to researchers, academics, and students in the fields of organizational studies, management history, human resource management, and organizational theory.
Analyzing Rational Crime — Models and Methods (Theory and Decision Library A: #36)
by Olof DahlbäckOlof Dahlbäck's book breaks new ground for the analysis of crime from a rationality perspective by presenting models and methods that go far beyond those with which researchers have hitherto been equipped. The book examines single crimes, individual criminality, and societal crime, and it discusses thoroughly the general decision theoretical presuppositions necessary for analyzing these various types of crime. An expected utility maximization model for a single discrete choice regarding the commission of a crime is the foundation of most of the analyses presented. A version of this model is developed that permits interpersonal comparisons, and this basic model is used when deriving more complex models of crime as well as when analyzing the potential for such derivations. The rigorous, powerful methods suggested provide considerable opportunities for improving research and for seeing old problems in a new light.