| Title:
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LINEAR MODELS
A MEAN MODEL APPROACH |
| By: |
William Moser, Barry Kurt Moser, Zbynek Sidak |
| Format: |
Hardback |
| List price:
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£76.00 |
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| ISBN 10: |
012508465X |
| ISBN 13: |
9780125084659 |
| Publisher: |
ELSEVIER SCIENCE PUBLISHING CO INC |
| Pub. date: |
18 October, 1996 |
| Series: |
Probability and Mathematical Statistics |
| Pages: |
228 |
| Description: |
Dealing with linear models, this work examines the subject from a mean model perspective, defining rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. It includes a review of relevant linear algebra concepts. |
| Synopsis: |
Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The author includes both applied and theoretical discussions of the multivariate normal distribution, quadratic forms, maximum likelihood estimation, less than full rank models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory. |
| Publication: |
US |
| Imprint: |
Academic Press Inc |
| Returns: |
Non-returnable |
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