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Analysis of Variance, Design, and Regression : Linear Modeling for Unbalanced Data (Revised) (Hardcover)

Analysis of Variance, Design, and Regression : Linear Modeling for Unbalanced Data (Revised) (Hardcover) - image 1 of 1
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In a textbook for a master's level year-long statistics course on regression and analysis of variance, Christensen shows show to analyze small data sets by using tools that can easily be scaled to large data sets, and that apply to the haphazard way in which small relevant data sets are now constructed. He believes that big data are the future of statistics, but that it is not safe for people to apply models to large data sets until they understand the implications for small data. His topics include general statistical inference, lack of fit and nonparametric regression, diagnostics and variable selection, multiple comparison methods, and basic experimental designs. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
Edition: Revised
Number of Pages: 610
Genre: Mathematics
Sub-Genre: Probability + Statistics / General
Series Title: Chapman & Hall/Crc Texts in Statistical Science
Format: Hardcover
Publisher: Taylor & Francis
Author: Ronald Christensen
Language: English
Street Date: December 22, 2015
TCIN: 50773188
UPC: 9781498730143
Item Number (DPCI): 248-10-8825
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