Title

Linear Regression Analysis: Theory And Computing

Abstract

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.

Publication Date

1-1-2009

Publication Title

Linear Regression Analysis: Theory and Computing

Number of Pages

1-328

Document Type

Article; Book Chapter

Personal Identifier

scopus

DOI Link

https://doi.org/10.1142/6986

Socpus ID

84973601401 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84973601401

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