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Linear models are central to the practice of statistics. They are part of the core knowledge
expected of any applied statistician. Linear models are the foundation of a broad range of
statistical methodologies; this book is a survey of techniques that grow from a linear
model. Our starting point is the regression model with response y and predictors x1,…xp.
The model takes the form:
y=â0+â1x1+…+âpxp+å
where å is normally distributed. This book presents three extensions to this framework.
The first generalizes the y part; the second, the å part; and the third, the x part of the linear
model.
Chapman & Hall/CRC; October 2004
345 pages; ISBN 9781135437732
Read online, or download in secure PDF format
345 pages; ISBN 9781135437732
Read online, or download in secure PDF format
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ISBNs
9781584884248
9781135437732
9781135437725
9780203492284
0203492285