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John O. Rawlings, et al, «Applied Regression Analysis: A Research Tool» (2nd edition)

Posted on 2010-04-14




Name:John O. Rawlings, et al, «Applied Regression Analysis: A Research Tool» (2nd edition)
ASIN/ISBN:0387984542
File size:6 Mb
ISBN: 0387984542
Publish Date: 2005 Year
File Type: PDF
File Size: 6 Mb
Pages: 684 Pages
Other Info: Springer
   John O. Rawlings, et al, «Applied Regression Analysis: A Research Tool» (2nd edition)

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& 8220;Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool. This book is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an appied regression course to graduate students. This book seves as an excellent text for a service course on regression for non-statisticians and as a reference for researchers. It also provides a bridge between a two-semester introduction to statistical methods and a thoeretical linear models course. This book emphasizes the concepts and the analysis of data sets. It provides a review of the key concepts in simple linear regression, matrix operations, and multiple regression. Methods and criteria for selecting regression variables and geometric interpretations are discussed. Polynomial, trigonometric, analysis of variance, nonlinear, time series, logistic, random effects, and mixed effects models are also discussed. Detailed case studies and exercises based on real data sets are used to reinforce the concepts.& 8221;


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Applied Regression Analysis: A Research Tool

Applied Regression Analysis: A Research Tool

John O. Rawlings, Sastry G. Pantula, David A. Dickey,

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