Linear Regression Analysis

Linear Regression Analysis
Author: Xin Yan
Publisher: World Scientific
Total Pages: 349
Release: 2009
Genre: Mathematics
ISBN: 9812834109

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"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 techniques described in the book. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject area." --Book Jacket.


Linear Regression Analysis
Language: en
Pages: 349
Authors: Xin Yan
Categories: Mathematics
Type: BOOK - Published: 2009 - Publisher: World Scientific

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"This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques s
Introduction to Linear Regression Analysis
Language: en
Pages: 679
Authors: Douglas C. Montgomery
Categories: Mathematics
Type: BOOK - Published: 2015-06-29 - Publisher: John Wiley & Sons

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Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." —Journal of the American Statistical As
Regression Analysis and Linear Models
Language: en
Pages: 689
Authors: Richard B. Darlington
Categories: Social Science
Type: BOOK - Published: 2016-08-22 - Publisher: Guilford Publications

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Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the soci
Linear Models in Statistics
Language: en
Pages: 690
Authors: Alvin C. Rencher
Categories: Mathematics
Type: BOOK - Published: 2008-01-07 - Publisher: John Wiley & Sons

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The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizati
Linear Regression
Language: en
Pages: 499
Authors: David J. Olive
Categories: Mathematics
Type: BOOK - Published: 2017-04-18 - Publisher: Springer

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This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outli