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Linear Models and the Relevant Distributions and Matrix Algebra

Linear Models and the Relevant Distributions and Matrix Algebra

David A. Harville

85,11 €
IVA incluido
Disponible
Editorial:
Taylor & Francis Ltd
Año de edición:
2020
Materia
Probabilidad y estadística
ISBN:
9780367572037
85,11 €
IVA incluido
Disponible

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Sobre IBD

Using linear statistical models as a basis for statistical inference and the theoretical underpinnings of resultant inferential procedures. Includes topics typically covered less extensively; prediction, multiple-comparison procedures for controlling FDR, spherical/elliptical distributions.

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Otros libros del autor

  • Linear Models and the Relevant Distributions and Matrix Algebra
    David A. Harville
    Linear Models and the Relevant Distributions and Matrix Algebra: A Unified Approach, Volume 2 covers several important topics that were not included in the first volume. The second volume complements the first, providing detailed solutions to the exercises in both volumes. ...
  • Matrix Algebra From a Statistician’s Perspective
    David A. Harville
    Matrix algebra plays a very important role in statistics and in many other dis- plines. In many areas of statistics, it has become routine to use matrix algebra in thepresentationandthederivationorveri?cationofresults. Onesuchareaislinear statistical models; another is multivariate analysis. In these areas, a knowledge of matrix algebra isneeded in applying important concepts, ...
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  • Matrix Algebra From a Statistician’s Perspective
    David A. Harville
    Preface. - Matrices. - Submatrices and partitioned matricies. - Linear dependence and independence. - Linear spaces: row and column spaces. - Trace of a (square) matrix. - Geometrical considerations. - Linear systems: consistency and compatability. - Inverse matrices. - Generalized inverses. - Indepotent matrices. - Linear systems: solutions. - Projections and projection matric...
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