2009. 2nd Edition. Paperback. Explains the basic ideas of association and regression, taking you through the current models that link these ideas to causality. Num Pages: 458 pages, 21 b/w illus. 11 tables 404 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 165 x 24. Weight in Grams: 760. Theory and Practice. 456 pages, 21 b/w illus. 11 tables 404 exercises. Explains the basic ideas of association and regression, taking you through the current models that link these ideas to causality. Cateogry: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. BIC Classification: PBT. Dimension: 239 x 165 x 24. Weight: 702. . . . . . Books ship from the US and Ireland.

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Detalles bibliogr�ficos

T�tulo: Statistical Models: Theory and Practice
Editor: Cambridge University Press
Fecha de publicaci�n: 2009
Idioma: Ingl�s
ISBN 10: 0521743850
ISBN 13: 9780521743853
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 2� Edici�n
Estado: New

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Sinopsis

This lively and engaging book explains the basic ideas of association and regression, and tells you the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own.

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David A. Freedman is Professor of Statistics at the University of California, Berkeley. He has also taught in Athens, Caracas, Jerusalem, Kuwait, London, Mexico City, and Stanford. He has written several previous books, including a widely used elementary text. He is one of the leading researchers in probability and statistics, with 200 papers in the professional literature. He is a member of the American Academy of Arts and Sciences. In 2003, he received the John J. Carty Award for the Advancement of Science from the National Academy of Sciences, recognizing his 'profound contributions to the theory and practice of statistics'. Freedman has consulted for the Carnegie Commission, the City of San Francisco, and the Federal Reserve, as well as several departments of the US government. He has testified as an expert witness on statistics in law cases that involve employment discrimination, fair loan practices, duplicate signatures on petitions, railroad taxation, ecological inference, flight patterns of golf balls, price scanner errors, sampling techniques, and census adjustment.

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