Könyv Linear Models and the Relevant Distributions and Matrix Algebra HARVILLE

Linear Models and the Relevant Distributions and Matrix Algebra

Szerző: HARVILLE
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: 50 % esély
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88 672 Ft
Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed cover...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2018
oldal
524
EAN
9781138578333
ISBN
9781138578333
Enbook ID
18352629
Súly
1142
Méretek
261 x 186 x 36

Teljes leírás

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 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

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