Regression Analysis

Regression Analysis

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The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design. * Examples and exercises contain real data and graphical illustration for ease of interpretation * Outputs from SAS 7, SPSS 7, Excel, and Minitab are used for illustration, but any major statistical software package will work equally well.observations, problems with, 119a€“173 correlated errors, 118, 160a€“172 autoregressive models, 161a€“170 model modification, ... 117, 120a€“142 detecting ( example, artificial), 132a€“135 detecting (example, with census data), 135a€“141 DFBETAS statistics, 128 influence on ... 130a€“132 in logistic regression, detecting, 387a€“388 measuring leverage, 125a€“126 multiple linear regression, 108 remedial methods, anbsp;...


Title:Regression Analysis
Author: Rudolf J. Freund, William J. Wilson, Ping Sa
Publisher:Academic Press - 2006-05-30
ISBN-13:

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