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Linear Regression Analysis: Theory and Computing

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Synopses & Reviews

Book News Annotation:

Yan (U. of Missouri-Kansas City) and Su (U. of Central Florida) present this work as a one-semester textbook for a course in regression analysis for graduate students majoring in statistics and biostatistics in particular. Their treatment is contained in nine chapters that introduce the basic concept of regression and define the linear regression model and then discuss simple linear regression and multiple linear regression (focusing on the concept of vector space, linear projection, and linear hypothesis test); the topics of outlier detection, influential observations identification, collinearity, confounding, regression on dummy variables, checking for equal variance assumption, graphical display of residual diagnosis, and variable transformation technique in linear regression analysis; the generalizations of the ordinary least squares estimation in linear regression; the Poisson Regression for count data and the logistic regression for binary data; and Bayesian linear regression and the Bayes averaging method. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields.

Product Details

ISBN:
9789812834102
Author:
Yan, Xin
Publisher:
World Scientific Publishing Company
Author:
Su, Xiao Gang
Subject:
Applied
Subject:
Probability & Statistics - General
Subject:
Financial Applications - General
Subject:
Mathematics-Applied
Publication Date:
20090731
Binding:
Hardcover
Language:
English
Illustrations:
Y
Pages:
328
Dimensions:
9.00x6.10x1.00 in. 1.41 lbs.

Related Subjects

Computers and Internet » Personal Computers » Applications
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Linear Regression Analysis: Theory and Computing New Hardcover
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Product details 328 pages World Scientific Publishing Company - English 9789812834102 Reviews:
"Synopsis" by , This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields.
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