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

DOI10.1016/0047-259X(80)90055-XzbMath0449.62039OpenAlexW2018519149MaRDI QIDQ1147465

Norman L. Johnson

Publication date: 1980

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0047-259x(80)90055-x

zbMATH Keywords

momentsorder statisticslikelihood ratio testsbivariate Farlie-Gumbel- Morgenstern distributionextreme sample censoringindirect censoring

Mathematics Subject Classification ID

Multivariate analysis (62H99) Hypothesis testing in multivariate analysis (62H15) Order statistics; empirical distribution functions (62G30)

Cites Work

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• On some generalized farlie-gumbel-morgenstern distributions
• Comparison of Some Tests of Sample Censoring of Extreme Values
• THE DISTRIBUTION OF THE RATIO, IN A SINGLE NORMAL SAMPLE, OF RANGE TO STANDARD DEVIATION