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Analysis of categorical data with R / Christopher R. Bilder; Thomas M. Loughin

By: Contributor(s): Resource type: Ressourcentyp: BuchBookPublisher number: K12597Language: English Series: Texts in statistical science | A Chapman & Hall BookPublisher: Boca Raton, Fla. [u.a.] : CRC Press, c 2015Description: XIII, 533 S. : Ill., graph. DarstISBN:
  • 9781439855676
Subject(s): MSC: MSC: *62-01 | 62-04 | 62H17RVK: RVK: SK 830LOC classification:
  • QA169
Summary: "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 rst 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"--PPN: PPN: 787117099
Holdings
Item type Home library Shelving location Call number Status Date due Barcode Item holds
Freihandbestand ausleihbar Fachbibliothek Mathematik Bibliothek / frei aufgestellt Stoch. / Bil Available 36585435090
Total holds: 0

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