Description:The Statistical Analysis of Discrete Data provides an up-to-date introduction to methods for analyzing discrete data. The text covers both single-sample problems and problems with structured means which can be studied via loglinear and logistic models. Standard estimation and testing formulations are joined by formulations in terms of multiple comparisons, simultaneous interval construction, and ranking and selection. Where possible, connections with linear model theory for continuous responses are exploited to emphasize the relationships between the two areas. Recent research in areas such as graphical models for contingency tabels, Bayes and related estimation for loglinear models, and diagnostics for logistic regression is presented. Problems at the end of each chapter provide opportunities to both try out methods in the text on data from a wide variety of fields and to explore extensions of the material covered. The book is intended as a textbook for researchers both in- and outside of the statistics field who encounter discrete data.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with The Statistical Analysis of Discrete Data (Springer Texts in Statistics). To get started finding The Statistical Analysis of Discrete Data (Springer Texts in Statistics), you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
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1461269865
The Statistical Analysis of Discrete Data (Springer Texts in Statistics)
Description: The Statistical Analysis of Discrete Data provides an up-to-date introduction to methods for analyzing discrete data. The text covers both single-sample problems and problems with structured means which can be studied via loglinear and logistic models. Standard estimation and testing formulations are joined by formulations in terms of multiple comparisons, simultaneous interval construction, and ranking and selection. Where possible, connections with linear model theory for continuous responses are exploited to emphasize the relationships between the two areas. Recent research in areas such as graphical models for contingency tabels, Bayes and related estimation for loglinear models, and diagnostics for logistic regression is presented. Problems at the end of each chapter provide opportunities to both try out methods in the text on data from a wide variety of fields and to explore extensions of the material covered. The book is intended as a textbook for researchers both in- and outside of the statistics field who encounter discrete data.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with The Statistical Analysis of Discrete Data (Springer Texts in Statistics). To get started finding The Statistical Analysis of Discrete Data (Springer Texts in Statistics), you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.