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