Buch, Englisch, 538 Seiten, Format (B × H): 261 mm x 186 mm, Gewicht: 1142 g
Buch, Englisch, 538 Seiten, Format (B × H): 261 mm x 186 mm, Gewicht: 1142 g
Reihe: Chapman & Hall/CRC Texts in Statistical Science
ISBN: 978-1-138-57833-3
Verlag: Taylor & Francis Ltd
Features:
- Provides coverage of matrix algebra that is extensive and relatively self-contained and does so in a meaningful context
- Provides thorough coverage of the relevant statistical distributions, including spherically and elliptically symmetric distributions
- Includes extensive coverage of multiple-comparison procedures (and of simultaneous confidence intervals), including procedures for controlling the k-FWER and the FDR
- Provides thorough coverage (complete with detailed and highly accessible proofs) of results on the properties of various linear-model procedures, including those of least squares estimators and those of the F test.
- Features the use of real data sets for illustrative purposes
- Includes many exercises
Autoren/Hrsg.
Weitere Infos & Material
Introduction. Matrix Algebra: a Primer. Random Vectors and Matrices. The General Linear Model. Estimation and Prediction: Classical Approach. Some Relevant Distributions and Their Properties. Confidence Intervals (or Sets) and Tests of Hypotheses.