{"product_id":"discrete-data-analysis-with-r-9781498725835","title":"Discrete Data Analysis with R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eAn Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data\u003c\/strong\u003e presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, and biostatistics as well as researchers, methodologists, and consultants who can use the methods with their own data and analyses. Along with describing the necessary statistical theory, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to organize data, conduct an analys\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"This is an excellent book, nearly encyclopedic in its coverage. I personally find it very useful and expect that many other readers will as well. The book can certainly serve as a reference. It could also serve as a supplementary text in a course on categorical data analysis that uses R for computation or—because so much statistical detail is provided—even as the main text for a course on the topic that emphasizes graphical methods.\"\u003cbr\u003e—John Fox, McMaster University\u003c\/p\u003e\u003cp\u003e\"For many years, Prof. Friendly has been the most effective promoter in Statistics of graphical methods for categorical data. We owe thanks to Friendly and Meyer for promoting graphical methods and showing how easy it is to implement them in R. This impressive book is a very worthy addition to the library of anyone who spends much time analyzing categorical data.\" (Alan Agresti, Biometrics)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eGetting Started:\u003c\/strong\u003e Introduction. Working with Categorical Data. Fitting and Graphing Discrete Distributions. \u003cb\u003eExploratory and Hypothesis-Testing Methods:\u003c\/b\u003e Two-Way Contingency Tables. Mosaic Displays for n-Way Tables. Correspondence Analysis. \u003cb\u003eModel-Building Methods:\u003c\/b\u003e Logistic Regression Models. Models for Polytomous Responses. Loglinear and Logit Models for Contingency Tables. Extending Loglinear Models. Generalized Linear Models for Count Data.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":49409283522903,"sku":"9781498725835","price":82.64,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781498725835.jpg?v=1730506279","url":"https:\/\/bookcurl.com\/products\/discrete-data-analysis-with-r-9781498725835","provider":"Book Curl","version":"1.0","type":"link"}