عنوان

Analysis of categorical data with R /

(Number (ISBN

1439855676

(Number (ISBN

9781439855676

Number

dltt

Title Proper

Analysis of categorical data with R /

General Material Designation

[Book]

First Statement of Responsibility

Christopher R. Bilder, University of Nebraska-Lincoln, Lincoln, Nebraska, USA, Thomas M. Loughin, Simon Fraser University, Surrey, British Columbia, Canada

Specific Material Designation and Extent of Item

xiii, 533 pages :

Other Physical Details

illustrations ;

Dimensions

26 cm

Series Title

Chapman & Hall/CRC texts in statistical science series

Text of Note

Includes bibliographical references (pages 513-523) and index

Text of Note

1. Analyzing a binary response, part 1: introduction -- 2. Analyzing a binary response, part 2: regression models -- 3. Analyzing a multicategory response -- 4. Analyzing a count response -- 5. Model selection and evaluation -- 6. Additional topics -- A. An introduction to R -- B. Likelihood methods

0

Text of Note

"We live in a categorical world! From a positive or negative disease diagnosis to choosing all items that apply in a survey, outcomes are frequently organized into categories so that people can more easily make sense of them. However, analyzing data from categorical responses requires specialized techniques beyond those learned in a first or second course in Statistics. We o er this book to help students and researchers learn how to properly analyze categorical data. Unlike other texts on similar topics, our book is a modern account using the vastly popular R software. We use R not only as a data analysis method but also as a learning tool. For example, we use data simulation to help readers understand the underlying assumptions of a procedure and then to evaluate that procedure's performance. We also provide numerous graphical demonstrations of the features and properties of various analysis methods. The focus of this book is on the analysis of data, rather than on the mathematical development of methods. We o er numerous examples from a wide rage of disciplines medicine, psychology, sports, ecology, and others and provide extensive R code and output as we work through the examples. We give detailed advice and guidelines regarding which procedures to use and why to use them. While we treat likelihood methods as a tool, they are not used blindly. For example, we write out likelihood functions and explain how they are maximized. We describe where Wald, likelihood ratio, and score procedures come from. However, except in Appendix B, where we give a general introduction to likelihood methods, we do not frequently emphasize calculus or carry out mathematical analysis in the text. The use of calculus is mostly from a conceptual focus, rather than a mathematical one"--

Categories (Mathematics)-- Data processing

R (Computer program language)

Number

Edition

Class number

Book number

Bilder, Christopher R.

Loughin, Thomas M

Date of Transaction

20160901040306.0

Cataloguing Rules (Descriptive Conventions))

rda

Electronic name

[Book]

Y