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Linear Regression : A Mathematical Introduction - by Damodar N. Gujarati (Paperback)

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In a manner he calls rigorous but approachable, Gujarati introduces the theory of linear regression--a work-horse analysis technique in most natural and social sciences--to upper-level undergraduate students in a wide variety of disciplines. Graduate students, researchers, and teachers can use the book as a quick reference, he says. He covers the linear regression model, the classical linear regression model, the classical normal linear regression model: the method of maximum likelihood, distribution theory and hypothesis testing, and extensions of the classical linear regression model: generalized least squares and stochastic or endogenous regressors. Annotation ©2018 Ringgold, Inc., Portland, OR (protoview.com)
Number of Pages: 242
Genre: Social Science
Series Title: Quantitative Applications in the Social Sciences
Format: Paperback
Publisher: Sage Pubns
Author: Damodar N. Gujarati
Language: English
Street Date: July 20, 2018
TCIN: 53706669
UPC: 9781544336572
Item Number (DPCI): 248-47-1890
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$20.90
MSRPReg: $22.00 Save $1.10 (5% off)
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