UID:
almafu_9959327230402883
Format:
1 online resource (xvi, 672 pages) :
,
illustrations
Edition:
2nd ed.
ISBN:
9780470192610
,
0470192615
,
9780470192603
,
0470192607
Content:
The essential introduction to the theory and application of linear models-now in a valuable new edition. Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to m.
Note:
Matrix algebra -- Random vectors and matrices -- Multivariate normal distribution -- Distribution of quadratic forms in y -- Simple linear regression -- Multiple regression : estimation -- Multiple regression : tests of hypotheses and confidence intervals -- Multiple regression : model validation and diagnostics -- Multiple regression : random x's -- Multiple regression : Bayesian inference -- Analysis-of-variance models -- One-way analysis-of-variance : balanced case -- Two-way analysis-of-variance : balanced case -- Analysis-of-variance : the cell mean model for unbalanced data -- Analysis-of-covariance -- Linear mixed models -- Additional models.
,
English.
Additional Edition:
Print version: Rencher, Alvin C., 1934- Linear models in statistics. Hoboken, N.J. : Wiley-Interscience, ©2008 ISBN 9780471754985
Additional Edition:
ISBN 0471754986
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470192610
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470192610
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470192610
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470192610
