|
|
Showing 1 - 3 of
3 matches in All Departments
Starting with the basic linear model where the design and
covariance matrices are of full rank, this book demonstrates how
the same statistical ideas can be used to explore the more general
linear model with rank-deficient design and/or covariance matrices.
The unified treatment presented here provides a clearer
understanding of the general linear model from a statistical
perspective, thus avoiding the complex matrix-algebraic arguments
that are often used in the rank-deficient case. Elegant geometric
arguments are used as needed.The book has a very broad coverage,
from illustrative practical examples in Regression and Analysis of
Variance alongside their implementation using R, to providing
comprehensive theory of the general linear model with 181
worked-out examples, 227 exercises with solutions, 152 exercises
without solutions (so that they may be used as assignments in a
course), and 320 up-to-date references.This completely updated and
new edition of Linear Models: An Integrated Approach includes the
following features:
This research monograph on circular data analysis covers some
recent advances in the field, besides providing a brief
introduction to, and a review of, existing methods and models. The
primary focus is on recent research into topics such as
change-point problems, predictive distributions, circular
correlation and regression, etc. An important feature of this work
is the S-plus subroutines provided for analyzing actual data sets.
Coupled with the discussion of new theoretical research, the book
should benefit both the researcher and the practitioner.
Starting with the basic linear model where the design and
covariance matrices are of full rank, this book demonstrates how
the same statistical ideas can be used to explore the more general
linear model with rank-deficient design and/or covariance matrices.
The unified treatment presented here provides a clearer
understanding of the general linear model from a statistical
perspective, thus avoiding the complex matrix-algebraic arguments
that are often used in the rank-deficient case. Elegant geometric
arguments are used as needed.The book has a very broad coverage,
from illustrative practical examples in Regression and Analysis of
Variance alongside their implementation using R, to providing
comprehensive theory of the general linear model with 181
worked-out examples, 227 exercises with solutions, 152 exercises
without solutions (so that they may be used as assignments in a
course), and 320 up-to-date references.This completely updated and
new edition of Linear Models: An Integrated Approach includes the
following features:
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R367
R340
Discovery Miles 3 400
Loot
Nadine Gordimer
Paperback
(2)
R367
R340
Discovery Miles 3 400
|