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Conditional Specification of Statistical Models 1999 Edition
Contributor(s): Arnold, Barry C. (Author), Castillo, Enrique (Author), Sarabia, Jose M. (Author)

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ISBN: 0387987614     ISBN-13: 9780387987613
Publisher: Springer
OUR PRICE: $104.49  

Binding Type: Hardcover - See All Available Formats & Editions
Published: October 1999
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Annotation: 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 dimished importance today. Questions of compatibility of conditional and marginal specifications of distributions are of fundamental importance in modeling scenarios. Models with conditionals in exponential families are particularly tractable and provide useful models in a broad variety of settings.

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Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
Dewey: 519.24
LCCN: 99-30378
Series: Springer Series in Statistics
Physical Information: 0.98" H x 6.28" W x 9.5" L (1.50 lbs) 416 pages
Features: Bibliography, Illustrated, Index
 
Descriptions, Reviews, Etc.
Publisher Description:
Efforts to visualize multivariate densities necessarily involve the use of cross-sections, or, equivalently, conditional densities. This book focuses on distributions that are completely specified in terms of conditional densities. They are appropriately used in any modeling situation where conditional information is completely or partially available. All statistical researchers seeking more flexible models than those provided by classical models will find conditionally specified distributions of interest.
 
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