Analysis of Variance, Design, and Regression : Linear Modeling for Unbalanced Data, Second Edition Hardback
by Ronald (University of New Mexico, Albuquerque, USA) Christensen
Part of the Chapman & Hall/CRC Texts in Statistical Science series
Hardback
Description
Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data.
The book carefully analyzes small data sets by using tools that are easily scaled to big data.
The tools also apply to small relevant data sets that are extracted from big data.
New to the Second EditionReorganized to focus on unbalanced dataReworked balanced analyses using methods for unbalanced dataIntroductions to nonparametric and lasso regressionIntroductions to general additive and generalized additive modelsExamination of homologous factorsUnbalanced split plot analysesExtensions to generalized linear modelsR, Minitab®, and SAS code on the author’s websiteThe text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields.
It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.
Information
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Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:636 pages, 404 Tables, black and white; 135 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:22/12/2015
- Category:
- ISBN:9781498730143
Information
-
Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:636 pages, 404 Tables, black and white; 135 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:22/12/2015
- Category:
- ISBN:9781498730143
