Conditional Specification of Statistical Models:
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Bibliographic Details
Main Author: Arnold, Barry C. (Author)
Format: Electronic eBook
Language:English
Published: New York, NY Springer New York 1999
Series:Spinger Series in Statistics
Subjects:
Online Access:Volltext
Item Description:This book is an expanded up-to-date version of our Lecture Notes in Statistics monograph entitled Conditionally Specified Distributions. Chapters in that monograph have been edited, expanded, and brought up-to-date (1998). The concept of conditional specification of distributions is not new but, except in normal families, it has not been well developed in the literature. Computational difficulties undoubtedly hindered or discouraged developments in this direction. However, such roadblocks are of diminished importance today. Questions of compatibility of conditional and marginal specifications of distributions are of fundamental importance in modeling scenarios. Such issues are carefully analyzed in this book. Building on a normal conditionals model, which dates back at least to Bhattacharyya (1943), a broad spectrum of conditionally specified models is developed. Models with conditionals in exponential families are particularly tractable and provide useful models in a broad variety of settings. Chapter 1 covers basic results on characterization of compatibility of conditional distributions and uniqueness of the corresponding joint distribution in a variety of settings. In addition, important functional equation results are presented. These prove to be basic tools in subsequent development of families of distributions with conditionals in specified parametric families. Chapter 2 is focussed on the finite discrete case. In it, a variety of compatibility and near-compatibility results are described
Physical Description:1 Online-Ressource (XVI, 416 p)
ISBN:9780387225883
9780387987613
ISSN:0172-7397
DOI:10.1007/b97592

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