, ,

Decomposition and Invariance of Measures, and Statistical Transformation Models

Specificaties
Paperback, 147 blz. | Engels
Springer New York | 0e druk, 1989
ISBN13: 9780387971315
Rubricering
Springer New York 0e druk, 1989 9780387971315
Onderdeel van serie Lecture Notes in Statistics
€ 156,99
Levertijd ongeveer 8 werkdagen

Samenvatting

The present set of notes grew out of our interest in the study of statistical transformation models, in particular exponential transfor­ mation models. The latter class comprises as special cases all fully tractable models for mUltivariate normal observations. The theory of decomposition and invariance of measures provides essential tools for the study of transformation models. While the major aspects of that theory are treated in a number of mathematical monographs, mostly as part of much broader contexts, we have found no single account in the literature which is sufficiently comprehensive for statistical pur­ poses. This volume aims to fill the gap and to indicate the usefulness of measure decomposition and invariance theory for the methodology of statistical transformation models. In the course of the work with these notes we have benefitted much from discussions with steen Arne Andersson, J0rgen Hoffmann-J0rgensen and J0rgen Granfeldt Petersen. We are also very indebted to Jette Ham­ borg and Oddbj0rg Wethelund for their eminent secretarial assistance.

Specificaties

ISBN13:9780387971315
Taal:Engels
Bindwijze:paperback
Aantal pagina's:147
Uitgever:Springer New York
Druk:0

Inhoudsopgave

1. Introduction.- 2. Topological groups and actions.- 3. Matrix Lie groups.- 4. Invariant, relatively invariant, and quasi-invariant measures.- 5. Decomposition and factorization of measures.- 6. Construction of invariant measures.- 7. Exterior calculus.- 8. Statistical transformation models.- Further results and exercises.- References, with author index.- Notation index.
€ 156,99
Levertijd ongeveer 8 werkdagen

Rubrieken

    Personen

      Trefwoorden

        Decomposition and Invariance of Measures, and Statistical Transformation Models