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Applied Regression Analysis - A Research Tool (Paperback, 2nd ed. 1998. Softcover reprint of the original 2nd ed. 1998) Loot Price: R2,710
Discovery Miles 27 100
Applied Regression Analysis - A Research Tool (Paperback, 2nd ed. 1998. Softcover reprint of the original 2nd ed. 1998): John...

Applied Regression Analysis - A Research Tool (Paperback, 2nd ed. 1998. Softcover reprint of the original 2nd ed. 1998)

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

Series: Springer Texts in Statistics

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Loot Price R2,710 Discovery Miles 27 100 | Repayment Terms: R254 pm x 12*

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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.
Applied Regression Analysis 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 applied regression course to graduate students. Applied Regression Analysis serves 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.
Applied Regression Analysis 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. The data sets used in the book are available on the Internet.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Texts in Statistics
Release date: March 2013
First published: 1998
Authors: John O. Rawlings • Sastry G. Pantula • David A Dickey
Dimensions: 254 x 178 x 45mm (L x W x T)
Format: Paperback
Pages: 660
Edition: 2nd ed. 1998. Softcover reprint of the original 2nd ed. 1998
ISBN-13: 978-1-4757-7155-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN: 1-4757-7155-X
Barcode: 9781475771558

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