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Linear Models and the Relevant Distributions and Matrix Algebra


Linear Models and the Relevant Distributions and Matrix Algebra


Chapman & Hall/CRC Texts in Statistical Science

von: David A. Harville

CHF 165.90

Verlag: Chapman and Hall/CRC
Format: PDF
Veröffentl.: 22.03.2018
ISBN/EAN: 9781351264679
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

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