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Regression Analysis and its Application - A Data-Oriented Approach (Paperback) Loot Price: R2,102
Discovery Miles 21 020
Regression Analysis and its Application - A Data-Oriented Approach (Paperback): Richard F. Gunst, Robert L. Mason

Regression Analysis and its Application - A Data-Oriented Approach (Paperback)

Richard F. Gunst, Robert L. Mason

Series: Statistics: A Series of Textbooks and Monographs

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Loot Price R2,102 Discovery Miles 21 020 | Repayment Terms: R197 pm x 12*

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Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better understanding of classical regression analysis. Useful either as a textbook or as a reference source, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application. The book presents regression analysis in the general context of data analysis. Using a teach-by-example format, it contains ten major data sets along with several smaller ones to illustrate the common characteristics of regression data and properties of statistics that are employed in regression analysis. The book covers model misspecification, residual analysis, multicollinearity, and biased regression estimators. It also focuses on data collection, model assumptions, and the interpretation of parameter estimates. Complete with an extensive bibliography, Regression Analysis and Its Application is suitable for statisticians, graduate and upper-level undergraduate students, and research scientists in biometry, business, ecology, economics, education, engineering, mathematics, physical sciences, psychology, and sociology. In addition, data collection agencies in the government and private sector will benefit from the book.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Statistics: A Series of Textbooks and Monographs
Release date: October 2019
First published: 1980
Authors: Richard F. Gunst • Robert L. Mason
Dimensions: 229 x 152mm (L x W)
Format: Paperback
Pages: 424
ISBN-13: 978-0-367-40343-0
Categories: Books > Science & Mathematics > Mathematics > Mathematical foundations > General
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LSN: 0-367-40343-9
Barcode: 9780367403430

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