Details
Linear Models and the Relevant Distributions and Matrix Algebra
Chapman & Hall/CRC Texts in Statistical Science
53,73 € |
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Verlag: | Chapman and Hall/CRC |
Format: | EPUB, PDF |
Veröffentl.: | 22.03.2018 |
ISBN/EAN: | 9781351264662 |
Sprache: | englisch |
Anzahl Seiten: | 524 |
DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.
Beschreibungen
Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical concepts in the context of a relatively complex setting of great practical importance.Features:Provides coverage of matrix algebra that is extensive and relatively self-contained and does so in a meaningful contextProvides thorough coverage of the relevant statistical distributions, including spherically and elliptically symmetric distributionsIncludes extensive coverage of multiple-comparison procedures (and of simultaneous confidence intervals), including procedures for controlling the k-FWER and the FDRProvides 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 purposesIncludes many exercises