{"product_id":"regression-for-categorical-data-hardback-9781107009653","title":"Regression for Categorical Data (Hardback) 9781107009653","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eRegression for Categorical Data\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eThe book treats many recent developments in flexible and high-dimensional regression not normally included in books on categorical data analysis.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eGerhard Tutz (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781107009653, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 21 November 2011\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e572 pages, 98 b\/w illus.  102 tables  77 exercises\u003cbr\u003e25.7 x 18.5 x 3.6 cm, 1.16 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"Regression for Categorical Data is a well-written and nicely organized book. It focuses on the regression analysis of categorical data, including both binary and count data, and introduced up-to-date developments in the field.\"  \u003cbr\u003eXia Wang, Mathematical Reviews\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accompanied by an R package that contains data sets and code for all the examples.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction\u003cbr\u003e 2. Binary regression: the logit model\u003cbr\u003e 3. Generalized linear models\u003cbr\u003e 4. Modeling of binary data\u003cbr\u003e 5. Alternative binary regression models\u003cbr\u003e 6. Regularization and variable selection for parametric models\u003cbr\u003e 7. Regression analysis of count data\u003cbr\u003e 8. Multinomial response models\u003cbr\u003e 9. Ordinal response models\u003cbr\u003e 10. Semi- and nonparametric generalized regression\u003cbr\u003e 11. Tree-based methods\u003cbr\u003e 12. The analysis of contingency tables: log-linear and graphical models\u003cbr\u003e 13. Multivariate response models\u003cbr\u003e 14. Random effects models\u003cbr\u003e 15. Prediction and classification\u003cbr\u003e Appendix A. Distributions\u003cbr\u003e Appendix B. Some basic tools\u003cbr\u003e Appendix C. Constrained estimation\u003cbr\u003e Appendix D. Kullback–Leibler distance and information-based criteria of model fit\u003cbr\u003e Appendix E. Numerical integration and tools for random effects modeling.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46005915255064,"sku":"9781107009653","price":66.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781107009653i_e0f3032b-c97c-4a90-b54c-4999abdec41a.jpg?v=1691360939","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/regression-for-categorical-data-hardback-9781107009653","provider":"Freshly Printed Books","version":"1.0","type":"link"}