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      Sprache: Englisch

      Verlag: Taylor & Francis Group, LLC, Boca Raton, FL, 2016

      149872583X / 9781498725835

      Serie: Buch 38 von 59 - Chapman & Hall/CRC Texts in Statistical Science

      • Hardcover

      Anbieter: Rainy Day Paperback, Bethel, CT, USARainy Day Paperback

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      Zustand: Gebraucht - Gut

      EUR 43,25

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      hardcover. Zustand: Very Good. Like new except for some foxing on the title page. Unused code. 544 pages, 10" x 7'' - Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data 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. The 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 analysis, produce informative graphs, and evaluate what the graphs reveal about the data. The first part of the book contains introductory material on graphical methods for discrete data, basic R skills, and methods for fitting and visualizing one-way discrete distributions. The second part focuses on simple, traditional nonparametric tests and exploratory methods for visualizing patterns of association in two-way and larger frequency tables. The final part of the text discusses model-based methods for the analysis of discrete data.