Alan Agresti Categorical Data Analysis
Купить за 13855.03 RUR
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
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Alan Agresti Analysis of Ordinal Categorical Data
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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
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Группа авторов Categorical Data Analysis
Купить за 15702.37 RUR
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference «A 'must-have' book for anyone expecting to do research and/or applications in categorical data
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Graham J. G. Upton Categorical Data Analysis by Example
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Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large
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Группа авторов Structural Equations with Latent Variables
Купить за 17186.32 RUR
Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on
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Bryan E. Denham Categorical Statistics for Communication Research
Купить за 8724.6 RUR
Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for statistical procedures with data analyses illustrating techniques such as log- linear modeling and
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Alan Agresti Foundations of Linear and Generalized Linear Models
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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,
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Группа авторов Bayesian Models for Categorical Data
Купить за 12796.34 RUR
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers
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Collins Linda M. Latent Class and Latent Transition Analysis. With Applications in the Social, Behavioral, and Health Sciences
Купить за 12329.32 RUR
A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant
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Alan Lee J. Linear Regression Analysis
Купить за 17653.34 RUR
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
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Data Application: Practical Data Analysis
Купить за 1400 RUR
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Jichuan Wang Structural Equation Modeling
Купить за 9715.9 RUR
Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using M plus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on
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