Alan Agresti's Books

Categorical Data Analysis

By: Alan Agresti

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Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." —Statistics in Medicine "It is a total delight reading this book." —Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference." —Technometrics The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis. Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. This edition also features: An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis New sections introducing the Bayesian approach for methods in that chapter More than 100 analyses of data sets and over 600 exercises Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutions Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.

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756

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John Wiley & Sons

Published Date

ISBN 10

1118710940

ISBN 13

9781118710944

An Introduction to Categorical Data Analysis

By: Alan Agresti

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An Introduction to Categorical Data Analysis

By: Alan Agresti

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

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400

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119405262

ISBN 13

9781119405269

Analysis of Ordinal Categorical Data

By: Alan Agresti

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Analysis of Ordinal Categorical Data

By: Alan Agresti

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

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376

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John Wiley & Sons

Published Date

ISBN 10

1118209990

ISBN 13

9781118209998

Statistical Methods for the Social Sciences, Global Edition

By: Alan Agresti

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Statistical Methods for the Social Sciences, Global Edition

By: Alan Agresti

Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition uses examples and exercises with a variety of “real data.” It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics–often a stumbling block for students–while avoiding reliance on an overly simplistic recipe-based approach to statistics. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

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564

Publisher

Pearson Higher Ed

Published Date

ISBN 10

1292220341

ISBN 13

9781292220345

Foundations of Linear and Generalized Linear Models

By: Alan Agresti

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Foundations of Linear and Generalized Linear Models

By: Alan Agresti

A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial loglinear models for count data. Focusing on the theoretical underpinnings of these models, Foundations ofLinear and Generalized Linear Models also features: An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methods An overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to handle problematic cases such as high dimensional problems Numerous examples that use R software for all text data analyses More than 400 exercises for readers to practice and extend the theory, methods, and data analysis A supplementary website with datasets for the examples and exercises An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for analyzing data.

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471

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John Wiley & Sons

Published Date

ISBN 10

1118730038

ISBN 13

9781118730034

Foundations of Statistics for Data Scientists

With R and Python

By: Alan Agresti,Maria Kateri

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Foundations of Statistics for Data Scientists

With R and Python

By: Alan Agresti,Maria Kateri

Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (e.g., logistic regression and Poisson loglinear models), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.

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486

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CRC Press

Published Date

ISBN 10

1000462919

ISBN 13

9781000462913

Foundations of Linear and Generalized Linear Models

By: Alan Agresti

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Foundations of Linear and Generalized Linear Models

By: Alan Agresti

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480

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John Wiley & Sons

Published Date

ISBN 10

1118730305

ISBN 13

9781118730300

Probability and Statistics with R

By: Maria Dolores Ugarte,Ana F. Militino,Alan T. Arnholt

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Probability and Statistics with R

By: Maria Dolores Ugarte,Ana F. Militino,Alan T. Arnholt

Since the publication of the popular first edition, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. This second edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs. Along with adding new examples and exercises, this edition improves the existing examples, problems, concepts, data, and functions. Data sets, R functions, and more are available online.

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967

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CRC Press

Published Date

ISBN 10

1466504404

ISBN 13

9781466504400

Linear Regression Analysis

By: George A. F. Seber,Alan J. Lee

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Linear Regression Analysis

By: George A. F. Seber,Alan J. Lee

Concise, mathematically clear, and comprehensive treatment of the subject. * Expanded coverage of diagnostics and methods of model fitting. * Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models. * More than 200 problems throughout the book plus outline solutions for the exercises. * This revision has been extensively class-tested.

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584

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John Wiley & Sons

Published Date

ISBN 10

1118274423

ISBN 13

9781118274422

The SAGE Encyclopedia of Social Science Research Methods

By: Michael Lewis-Beck,Alan E Bryman,Tim Futing Liao

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The SAGE Encyclopedia of Social Science Research Methods

By: Michael Lewis-Beck,Alan E Bryman,Tim Futing Liao

Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.

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460

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SAGE

Published Date

ISBN 10

0761923632

ISBN 13

9780761923633

Forecasting with Dynamic Regression Models

By: Alan Pankratz

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Forecasting with Dynamic Regression Models

By: Alan Pankratz

One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed lag responses of output to input series and the auto correlation patterns of regression disturbance. It also includes six case studies.

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410

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John Wiley & Sons

Published Date

ISBN 10

1118150783

ISBN 13

9781118150788

Ethics and Values in Psychotherapy

By: Alan Tjeltveit

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Ethics and Values in Psychotherapy

By: Alan Tjeltveit

Ethics and Values in Psychotherapy is an examination of the role of the therapist as ethicist and the ways in which the ethical convictions of both therapist and client contribute to the practical process of psychotherapy. As Psychotherapy strives to establish itself as a 'Profession', practitioners are increasinly focusing on the issue of ethics as they attempt to agree on guidelines and standards for professional practice. Alan Tjeltveit argues that any discussion of professional and ethical practice in psychotherapy is inadequate if carried out in ignorance of or in isolation from traditional ethical theories. He applies this approach to issues such as: * the role of therapy in society * the goals and outcomes of psychotherapy * techniques and practices * the existence and operation of values * the intellectual and social context in which therapy takes place. In the second part of the book, he uses clinical examples and case studies to relate this theoretical discussion to clinical practice. Ethics and Values in Psychotherapy will be welcomed by the growing number of experienced Psychotherapists and post-graduate students who are interested in the increasingly contentious issue of professional ethics.

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341

Publisher

Routledge

Published Date

ISBN 10

1134730551

ISBN 13

9781134730551

Hierarchical Modeling and Analysis for Spatial Data, Second Edition

By: Sudipto Banerjee,Bradley P. Carlin,Alan E. Gelfand

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Hierarchical Modeling and Analysis for Spatial Data, Second Edition

By: Sudipto Banerjee,Bradley P. Carlin,Alan E. Gelfand

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflects the major growth in spatial statistics as both a research area and an area of application. New to the Second Edition New chapter on spatial point patterns developed primarily from a modeling perspective New chapter on big data that shows how the predictive process handles reasonably large datasets New chapter on spatial and spatiotemporal gradient modeling that incorporates recent developments in spatial boundary analysis and wombling New chapter on the theoretical aspects of geostatistical (point-referenced) modeling Greatly expanded chapters on methods for multivariate and spatiotemporal modeling New special topics sections on data fusion/assimilation and spatial analysis for data on extremes Double the number of exercises Many more color figures integrated throughout the text Updated computational aspects, including the latest version of WinBUGS, the new flexible spBayes software, and assorted R packages The Only Comprehensive Treatment of the Theory, Methods, and Software This second edition continues to provide a complete treatment of the theory, methods, and application of hierarchical modeling for spatial and spatiotemporal data. It tackles current challenges in handling this type of data, with increased emphasis on observational data, big data, and the upsurge of associated software tools. The authors also explore important application domains, including environmental science, forestry, public health, and real estate.

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587

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CRC Press

Published Date

ISBN 10

1439819173

ISBN 13

9781439819173

Hierarchical Modeling and Analysis for Spatial Data

By: Sudipto Banerjee,Bradley P. Carlin,Alan E. Gelfand

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Hierarchical Modeling and Analysis for Spatial Data

By: Sudipto Banerjee,Bradley P. Carlin,Alan E. Gelfand

Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis,

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470

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CRC Press

Published Date

ISBN 10

1135438080

ISBN 13

9781135438081

The American Unity Plan

Bold American Solutions for a Divided Country

By: Alan Nager

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The American Unity Plan

Bold American Solutions for a Divided Country

By: Alan Nager

Can unity be achieved in America or are we too divided as a nation? Can American principles such as fairness, equality under the law, and reasonable accommodation be applied to many of America’s greatest needs? America is looking for real solutions that are bold and can be supported by even the most ardent Conservatives and Progressives. Without a long-term plan to address the social safety net (retirement, healthcare, and education), immigration, climate defenses, taxation, inflation, and the federal budget, we will continue to devolve into separate Americas. The current proposals by both political parties are incrementally making these problems worse, putting future generations at risk. Rather, The American Unity Plan is a fully integrated, bold solution that can be supported by the American people. It is a uniquely American roadmap for long-term success incorporating ideas from across the political spectrum.

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261

Publisher

Bublish, Inc.

Published Date

ISBN 10

1647047064

ISBN 13

9781647047061

Tech Mining

Exploiting New Technologies for Competitive Advantage

By: Alan L. Porter,Scott W. Cunningham

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Tech Mining

Exploiting New Technologies for Competitive Advantage

By: Alan L. Porter,Scott W. Cunningham

Tech Mining makes exploitation of text databases meaningful tothose who can gain from derived knowledge about emergingtechnologies. It begins with the premise that we have theinformation, the tools to exploit it, and the need for theresulting knowledge. The information provided puts new capabilities at the hands oftechnology managers. Using the material present, these managers canidentify and access the most valuable technology informationresources (publications, patents, etc.); search, retrieve, andclean the information on topics of interest; and lower the costsand enhance the benefits of competitive technological intelligenceoperations.

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384

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471698458

ISBN 13

9780471698456

Social Networks, Drug Injectors’ Lives, and HIV/AIDS

By: Samuel R. Friedman,Richard Curtis,Alan Neaigus,Benny Jose,Don C. Des Jarlais

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Social Networks, Drug Injectors’ Lives, and HIV/AIDS

By: Samuel R. Friedman,Richard Curtis,Alan Neaigus,Benny Jose,Don C. Des Jarlais

Social Networks, Drug Injectors' Lives, and HIV/AIDS recognizes HIV as a socially structured disease - its transmission usually requires intimate contact between individuals - and shows how social networks shape high-risk behaviors and the spread of HIV. The authors recount the groundbreaking use of social network methods, ethnographic direct-observation techniques, and in-depth interviews in their study of a drug-using community in Brooklyn, New York. They provide a detailed documentary of the lives of community members. They describe drug-use, the affects of poverty and homelessness, the acquisition of money and drugs, and social relationships within the group. Social Networks, Drug Injectors' Lives, and HIV/AIDS shows that social networks and contexts are of crucial importance in understanding and fighting the AIDS epidemic. These findings should revitalize prevention efforts and reshape social policy.

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290

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0306471612

ISBN 13

9780306471612

The Biological Basis of Cancer

By: Robert G. McKinnell,Ralph E. Parchment,Alan O. Perantoni,G. Barry Pierce,Ivan Damjanov

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The Biological Basis of Cancer

By: Robert G. McKinnell,Ralph E. Parchment,Alan O. Perantoni,G. Barry Pierce,Ivan Damjanov

This is a revised and updated edition of a text used in undergraduate courses on cancer biology. It covers everything from the molecular basis of cancer to clinical aspects of the subject, and has a lengthy bibliography designed to assist newcomers with the cancer literature. An introduction acquaints students with the biological principles of cancer and the human dimensions of the disease by considering genuine cases of cancer in fictionalized letters. Other chapters discuss cancer pathology, metastasis, carcinogenesis, genetics, oncogenes and tumor suppressors, epidemiology, and the biological basis of cancer treatment. Also included are an appendix with descriptions of common forms of cancer, a glossary of cancer-related terms and colour plates to illustrate the pathology of many of the types of cancer discussed in the text. Upper-division undergraduates with a background in freshman biology and chemistry, as well as beginning graduate students will find this a valuable text.

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504

Publisher

Cambridge University Press

ISBN 10

131658304X

ISBN 13

9781316583043

Housing Unaffordability from a Resident’s Point of View

By: Alan Phipps

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Housing Unaffordability from a Resident’s Point of View

By: Alan Phipps

A new theoretical criterion of housing unaffordability from a resident’s point of view is proposed in this book, tested with social data for respondents and price data for single-detached(-like) homes in two historically affordable mid-sized cities at two points in time, 30 years apart. This new criterion is derived from the magnitude of the mismatch between where the resident can afford to live and where they, realistically, would prefer to live. Housing affordability is a global social and political issue, and this book complements recent books that review housing affordability from a practitioner’s point of view. The book is written to be understood by everybody, with each chapter’s introductory subsection summarizing the subsequent technical and scientific sections. This book will therefore be readable not only for practitioners, but also academics in social science disciplines such as real estate, geography, economics, sociology, urban planning, and urban studies. Best of all, residents may utilize this book’s analysis of housing unaffordability to make wiser decisions about their own homes.

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194

Publisher

Cambridge Scholars Publishing

Published Date

ISBN 10

152751983X

ISBN 13

9781527519831

Computation of Multivariate Normal and t Probabilities

By: Alan Genz,Frank Bretz

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Computation of Multivariate Normal and t Probabilities

By: Alan Genz,Frank Bretz

Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages provide functions for the computation of these probabilities for problems with one or two variables. This book describes recently developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. The book discusses methods for specialized problems as well as methods for general problems. The book includes examples that illustrate the probability computations for a variety of applications.

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130

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Springer Science & Business Media

Published Date

ISBN 10

3642016898

ISBN 13

9783642016899

IQ Testing 101

By: Alan S. Kaufman, PhD

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IQ Testing 101

By: Alan S. Kaufman, PhD

Does your IQ really measure your intelligence? Is IQ genetic? Can your IQ vary? Do we get smarter or dumber as we get older? How will IQ tests be different in the future? Dr. Kaufman, a leading expert on the development of IQ tests, explores these critical questions and many more in IQ Testing 101. This book provides a brief, compelling introduction to the topic of IQ testing-its mysteries, misconceptions, and truths. This newest edition to the popular Psych 101 Series presents a common-sense approach to what IQ is and what it is not. In lucid, engaging prose, Kaufman explains the nature of IQ testing, as well as where it came from, and where it's going in the future. A quick, fun, even enlightening read, not only for psychologists and educators, but for anyone interested in the study of intelligence. The Psych 101 Series Short, reader-friendly introductions to cutting-edge topics in psychology. With key concepts, controversial topics, and fascinating accounts of up-to-the-minute research, The Psych 101 Series is a valuable resource for all students of psychology and anyone interested in the field.

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362

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Springer Publishing Company

Published Date

ISBN 10

0826106307

ISBN 13

9780826106308

Nuclear Magnetic Resonance Volume 9

By: Graham Alan Webb

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Nuclear Magnetic Resonance Volume 9

By: Graham Alan Webb

Annotation As a spectroscopic method, Nuclear Magnetic Resonance (NMR) has seen spectacular growth over the past two decades, both as a technique and in its applications. Today the applications of NMR span a wide range of scientific disciplines, from physics to biology to medicine. Each volume of Nuclear Magnetic Resonance comprises a combination of annual and biennial reports which together provide comprehensive of the literature on this topic. This Specialist Periodical Report reflects the growing volume of published work involving NMR techniques and applications, in particular NMR of natural macromolecules which is covered in two reports: "NMR of Proteins and Acids" and "NMR of Carbohydrates, Lipids and Membranes". For those wanting to become rapidly acquainted with specific areas of NMR, this title provides unrivalled scope of coverage. Seasoned practitioners of NMR will find this an in valuable source of current methods and applications. Specialist Periodical Reports provide systematic and detailed review coverage in major areas of chemical research. Compiled by teams of leading authorities in the relevant subject areas, the series creates a unique service for the active research chemist, with regular, in-depth accounts of progress in particular fields of chemistry. Subject coverage within different volumes of a given title is similar and publication is on an annual or biennial basis.

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360

Publisher

Royal Society of Chemistry

Published Date

ISBN 10

0851869602

ISBN 13

9780851869605

Power, Construction and Meaning in Festivals

By: Allan Jepson,Alan Clarke

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Power, Construction and Meaning in Festivals

By: Allan Jepson,Alan Clarke

Whether through education, sport or festivity, events form the basis on which we attribute cultural meaning, significance and value to our lives. In this light, community events have the potential to create positive and negative social, cultural, economic and environmental impacts within the community across a wide variety of genres and platforms. This book offers a deeper and more critical insight into the relationships, dynamics and planning processes of festivals and events and the impact this has upon authenticity, cultural consumption and the local communities they serve. It does so by looking at a range of key debates in power theory, event planning and design, event construction, experience and meaning, authenticity, sustainability, social inclusion, accessibility and sponsorship engagement. International case studies are embedded within the chapters, examining the role of stakeholders, local communities, organisers, local governments and infrastructure. This critical event studies text is interdisciplinary and will make valuable reading for students and researchers who are interested in the relationships and dynamics involved in the construction and planning of festivals and events, their immediate impact and their significance for the future.

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215

Publisher

Routledge

Published Date

ISBN 10

1351664581

ISBN 13

9781351664585

Observed Confidence Levels

Theory and Application

By: Alan M. Polansky

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Observed Confidence Levels

Theory and Application

By: Alan M. Polansky

Illustrating a simple, novel method for solving an array of statistical problems, Observed Confidence Levels: Theory and Application describes the basic development of observed confidence levels, a methodology that can be applied to a variety of common multiple testing problems in statistical inference. It focuses on the modern nonparametric framework of bootstrap-based estimates, allowing for substantial theoretical development and for relatively simple solutions to numerous interesting problems. After an introduction, the book develops the theory and application of observed confidence levels for general scalar parameters, vector parameters, and linear models. It then examines nonparametric problems often associated with smoothing methods, including nonparametric density estimation and regression. The author also describes applications in generalized linear models, classical nonparametric statistics, multivariate analysis, and survival analysis as well as compares the method of observed confidence levels to hypothesis testing, multiple comparisons, and Bayesian posterior probabilities. In addition, the appendix presents some background material on the asymptotic expansion theory used in the book. Helping you choose the most reliable method for a variety of problems, this book shows how observed confidence levels provide useful information on the relative truth of hypotheses in multiple testing problems.

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288

Publisher

CRC Press

Published Date

ISBN 10

1584888032

ISBN 13

9781584888031

Network Models for Data Science

Theory, Algorithms, and Applications

By: Alan Julian Izenman

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Network Models for Data Science

Theory, Algorithms, and Applications

By: Alan Julian Izenman

This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.

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