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Analysis of Variance, Design, and Regression - Linear Modeling for Unbalanced Data, Second Edition (Paperback, 2nd edition)
Loot Price: R1,529
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Analysis of Variance, Design, and Regression - Linear Modeling for Unbalanced Data, Second Edition (Paperback, 2nd edition)
Series: Chapman & Hall/CRC Texts in Statistical Science
Expected to ship within 12 - 17 working days
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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 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 (R), 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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