Characterization based on conditional expectations of adjacent order statistics: A unified approach

DOI10.1090/S0002-9939-99-04913-8zbMath0926.62004OpenAlexW1951218643MaRDI QIDQ4226298

Manuel Franco, José-María Ruiz

Publication date: 25 January 1999

Published in: Proceedings of the American Mathematical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1090/s0002-9939-99-04913-8

zbMATH Keywords

order statisticsconditional momentsmixture distributions

Mathematics Subject Classification ID

Order statistics; empirical distribution functions (62G30) Probability distributions: general theory (60E05) Characterization and structure theory of statistical distributions (62E10)

Related Items (7)

Characterizations via regression of generalized order statistics ⋮ Characterizations via Linear Regression of Ordered Random Variables: A Unifying Approach ⋮ On the unique characterization of continuous distributions by single regression of non-adjacent generalized order statistics ⋮ Letter to the editor ⋮ On characterizations of distributions by regression of adjacent generalized order statistics ⋮ Uniqueness of characterization of absolutely continuous distributions by regressions of generalized order statistics ⋮ Some characterization results based on the conditional expectation of function of non-adjacent order statistic (record value)

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