Электронная книга: Alan Agresti «Categorical Data Analysis»

Categorical Data Analysis

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 dataanalysis. 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 fordiscrete 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 analysesof 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.

Издательство: "John Wiley&Sons Limited"

ISBN: 9781118710852

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См. также в других словарях:

  • Data analysis — Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches,… …   Wikipedia

  • Categorical data — In statistics, categorical data is that part of an observed dataset that consists of categorical variables, or for data that has been converted into that form, for example as grouped data. More specifically, categorical data may derive from… …   Wikipedia

  • Analysis of categorical data — These are statistical procedures which can be used for the analysis of categorical data:* regression * analysis of variance * linear modeling * log linear modeling * logistic regression * repeated measures analysis * simple correspondence… …   Wikipedia

  • Structured data analysis (statistics) — Structured data analysis is the statistical data analysis of structured data. Either in the form of a priori structure such as multiple choice questionnaires or in situations with the need to search for structure that fits the given data, either… …   Wikipedia

  • Data set — For IBM mainframe term for a file, see Data set (IBM mainframe). A data set (or dataset) is a collection of data, usually presented in tabular form. Each column represents a particular variable. Each row corresponds to a given member of the data… …   Wikipedia

  • Categorical — See:* Categorical imperative * Morley s categoricity theorem * Categorical data analysis * Categorical distribution * Categorical logic * Categorical syllogism * Categorical proposition * Categorization * Categorical perception * Category theory… …   Wikipedia

  • Data collection — is a term used to describe a process of preparing and collecting data, for example, as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record, to make decisions about important… …   Wikipedia

  • Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… …   Wikipedia

  • Data — For data in a computer science context, see Data (computing). For other senses of the word, see Data (disambiguation). See also datum, a disambiguation page. The term data refers to qualitative or quantitative attributes of a variable or set of… …   Wikipedia

  • Categorical perception — is the perception of different sensory phenomena as being qualitatively,or categorically, different. It is opposed to continuous perception , the perception of different sensory phenomena as being located on a smooth continuum.Categorical… …   Wikipedia

  • Analysis — A psychology term for processes used to gain understanding of complex emotional or behavioral issues. * * * 1. The breaking up of a chemical compound or mixture into simpler elements; a process by which the composition of a substance is… …   Medical dictionary


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