Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data 2nd Edition PDF ebook

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eBook Details:

Full title: Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data
2nd Edition
Edition: 2nd
Copyright year: 2016
Publisher: Chapman and Hall/CRC
Author: Ronald Christensen
ISBN: 9781498730143, 9781498774055
Format: PDF

Description of Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data
2nd Edition:
Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data 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 Edition Reorganized to focus on unbalanced data Reworked balanced analyses using methods for unbalanced data Introductions to nonparametric and lasso regression Introductions to general additive and generalized additive models Examination of homologous factors Unbalanced split plot analyses Extensions to generalized linear models R, Minitab, and SAS code on the author’s website The 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.

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