Parametric Statistical Models and Likelihood

Parametric Statistical Models and Likelihood
Author :
Publisher : Springer Science & Business Media
Total Pages : 285
Release :
ISBN-10 : 9781461239345
ISBN-13 : 1461239346
Rating : 4/5 (45 Downloads)

Book Synopsis Parametric Statistical Models and Likelihood by : Ole E Barndorff-Nielsen

Download or read book Parametric Statistical Models and Likelihood written by Ole E Barndorff-Nielsen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a slightly revised and expanded version of a set I I I of notes used for a lecture series given at the Ecole dlEte de I Probabilites at st. Flour in August 1986. In view of the statistical nature of the material discussed herein it was agreed to publish the material as a separate volume in the statistics series rather than, as is the tradition, in a joint volume in the Lecture Notes in Mathematics Series. It is a genuine pleasure to have this opportunity to thank I I I the organizers of Les Ecoles dlEte, and in particular Professor P. -L. Hennequin, for the excellent arrangements of these Summer Schools which form a very significant forum for the exchange of scientific ideas relating to probability. The efficient, careful and patient preparation of the typescript by Oddbj~rg Wethelund is also gratefully acknowledged. Aarhus, June 1988 O. E. Barndorff-Nielsen Parametric statistical Models and Likelihood O. E. Barndorff-Nielsen o. Introduction 0. 1. Outline of contents 1 0. 2. A few preliminaries 2 1. Likelihood and auxiliary statistics 1. 1. Likelihood 4 1. 2. Moments and cumulants of log likelihood derivatives 10 1. 3. Parametrization invariance 13 1. 4. Marginal and conditional likelihood 15 * 1. 5. Combinants, auxiliaries, and the p -model 19 1. 6. Orthogonal parameters 27 1. 7. Pseudo likelihood, profile likelihood and modified 30 profile likelihood 1. 8. Ancillarity and conditionality 33 41 1. 9. Partial sufficiency and partial ancillarity 1. 10.


Parametric Statistical Models and Likelihood Related Books

Parametric Statistical Models and Likelihood
Language: en
Pages: 285
Authors: Ole E Barndorff-Nielsen
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is a slightly revised and expanded version of a set I I I of notes used for a lecture series given at the Ecole dlEte de I Probabilites at st. Flour i
Parametric Statistical Change Point Analysis
Language: en
Pages: 190
Authors: Jie Chen
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Recently there has been a keen interest in the statistical analysis of change point detec tion and estimation. Mainly, it is because change point problems can b
Parametric Statistical Inference
Language: en
Pages: 512
Authors: James K. Lindsey
Categories: Mathematics
Type: BOOK - Published: 1996 - Publisher: Oxford University Press

DOWNLOAD EBOOK

Two unifying components of statistics are the likelihood function and the exponential family. These are brought together for the first time as the central theme
A Parametric Approach to Nonparametric Statistics
Language: en
Pages: 277
Authors: Mayer Alvo
Categories: Mathematics
Type: BOOK - Published: 2018-10-12 - Publisher: Springer

DOWNLOAD EBOOK

This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such a
Mathematical Statistics
Language: en
Pages: 611
Authors: Richard J. Rossi
Categories: Mathematics
Type: BOOK - Published: 2018-06-14 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likeli