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Measuring information in right-censored models

โœ Scribed by Myles Hollander; Frank Proschan; James Sconing

Publisher
John Wiley and Sons
Year
1987
Tongue
English
Weight
616 KB
Volume
34
Category
Article
ISSN
0894-069X

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โœฆ Synopsis

The theory of majorization is used to develop measures of information in the randomly right-censored model when the lifetime and censoring variables are discrete. Majorization also enables us to prove some basic theorems about the measures in a simple and unified fashion. These measures include Shannon's information as a special case. The measures are inadequate in the continuous case and some alternative measures, based on the variance of the lifetime random variable, are proposed.

๐Ÿ“œ SIMILAR VOLUMES

Daniels's association measures under rig
Daniels's association measures under right censoring
โœ O'Quigley, John ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 739 KB

This paper considers extensions of the Daniels generalized measures of association (Daniels 1944) to censored data. A number of existing tests for the detection of association in the presence of rightcensoring (Gehan 1965; Efron 1967; Brown, Hollander and Korwar 1974; Weier and Basu 1980) are seen