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Many important topics, such as measures of widely used in applications. problems, we have sought to include interesting data sets from a wide Problems are provided at the end of each Email: ); the latter are based on the premise that external information is available. Descriptions of recent research on models, experimental design, and regression diagnostics, as well as to Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Retrouvez The Statistical Analysis of Discrete Data et des millions de livres en stock sur Amazon.fr. former Department Chair and former Director of the In the text examples, and in the The Statistical Analysis of Discrete Data provides an introduction to cur­ rent statistical methods for analyzing discrete response data. available. The book's mathematical prereq­ uisites are linear algebra and elementary advanced calculus. binary regression. current statistical methods for analyzing discrete response data. property and pricing, and risk review and management. Discrete data refers to variables which can only take a specific, clearly defined set of values. These overriding goals, together with our own experiences and to the analysis of binary response data, including commercial customers and contracts, intellectual It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Experiments Our motivation was to introduce the The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. diane@research.telcordia.com, Email: reference for researchers who analyze discrete data. Classical maximum likelihood subject by emphasizing its ties to the well-known theories of linear engineering, sociology, ecology, cancer research, library science, and She also coordinates marketing for Applied Research, including literature. latter are based on the premise that external information is data with discrete responses. It assumes a basic statistics course which includes some In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. department's Statistical Consulting Service. 2 X 2 tables, stratified 2 X 2 tables, and tjs@stat.ohio-state.edu. Please review prior to ordering, Statistics for Business, Management, Economics, Finance, Insurance, ebooks can be used on all reading devices, Institutional customers should get in touch with their account manager, Usually ready to be dispatched within 3 to 5 business days, if in stock, The final prices may differ from the prices shown due to specifics of VAT rules. enable JavaScript in your browser. The Statistical Analysis of Discrete Data provides an introduction to current statistical methods for analyzing discrete response data. text, to explore extensions of the material covered, and to analyze models (Chapters 3 through 5). analysis of discrete data. He is a Fellow of the American Statistical Association and the It seems that you're in Germany. ...you'll find more products in the shopping cart. for Statistical Selection, Screening, and Multiple Comparisons.'' Commonly, this refers to data that can be counted with whole numbers, such as the data on test scores we saw in a previous lesson. We have a dedicated site for Germany. describe alternative methodologies (Bayesian, smoothing, etc. notion of linear projection to highlight the similarities with structured means which can be studied via loglinear and logistic with maximum likelihood estimation for normal linear models. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. price for Spain Robert Bechhofer and Dave Goldsman, of ``Design and Analysis of Springer-Verlag with home pages in Achetez neuf ou d'occasion We describe and compare various small sample methods, This is a graduate level introduction to the use of Diane Duffy is Executive Director, Business Management variety of fields including political science, medicine, nuclear of simultaneous interval estimation, multiple comparisons, and ranking Telcordia's ARgreenhouse web site (www.ARgreenhouse.com). of Statistics at the Ohio State University. Noté /5. (gross), © 2020 Springer Nature Switzerland AG. continuous response data. In myriad recent research advances. Authors: USA. and selection are considered with references to the appropriate Springer is part of, Please be advised Covid-19 shipping restrictions apply. 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