Extreme sample censoring problems with multivariate data: Indirect censoring and the Farlie-Gumbel-Morgenstern distribution

Indirect censoring is defined as the effect on observed variables of censoring on unobserved variables. Methods of testing for indirect censoring are discussed, and exemplified, using a bivariate Farlie-Gumbel-Morgenstern distribution.

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Year of publication:	1980
Authors:	Johnson, N. L.
Published in:	Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 10.1980, 3, p. 351-362
Publisher:	Elsevier
Keywords:	Indirect censoring Farlie-Gumbel-Morgenstern distribution likelihood ratio tests order statistics moments

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005153062