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Applied Regression Analysis, 3E by Draper…
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Applied Regression Analysis, 3E (edition 2011)

by Draper N.R. (Author)

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Title:Applied Regression Analysis, 3E
Authors:Draper N.R. (Author)
Info:n/a (2011)
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Tags:Mathematics, U.1.2, IUGC Library1

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Applied Regression Analysis by Norman R. Draper

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Author nameRoleType of authorWork?Status
Norman R. Draperprimary authorall editionscalculated
Smith, Harrymain authorall editionsconfirmed
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In today's industry, there is no shortage of "information."
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The foregoing analysis raises a question we have avoided until now. When a factor like X2 is dropped from a model, should we re-assess our treatment of pure error? In Table 7.6, runs 15-20 are the only repeats but, when X2 is dropped so that the data become as in Table 7.11, the pairs of runs numbered (1,3), (2,4), (5,7), and (6,8) now apparently form four pairs of repeat runs in variables X1 and X3.
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Amazon.com Product Description (ISBN 0471170828, Hardcover)

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

(retrieved from Amazon Thu, 12 Mar 2015 18:22:17 -0400)

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