On the range of heterogeneous samples

DOI10.1016/j.jmva.2009.01.001zbMath1166.60015OpenAlexW2027039216MaRDI QIDQ1026343

Maochao Xu, Subhash C. Kochar, Christian Genest

Publication date: 24 June 2009

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

Full work available at URL: https://doi.org/10.1016/j.jmva.2009.01.001

zbMATH Keywords

copulaorder statisticsexponential distributionrangeproportional hazards modellikelihood ratio orderingdispersive orderingČebyšev's sum inequalitymonotone regression dependence

Mathematics Subject Classification ID

Inequalities; stochastic orderings (60E15) Measures of association (correlation, canonical correlation, etc.) (62H20) Order statistics; empirical distribution functions (62G30)

Related Items (12)

ON STOCHASTIC COMPARISONS OF ORDER STATISTICS FROM HETEROGENEOUS EXPONENTIAL SAMPLES ⋮ COMPARISONS OF SAMPLE RANGES ARISING FROM MULTIPLE-OUTLIER MODELS: IN MEMORY OF MOSHE SHAKED ⋮ Ordering properties of largest order statistics from independent and heterogeneous Dagum populations ⋮ On sample ranges from two sets of heterogenous random variables ⋮ Comparing lifetimes of series and parallel systems with heterogeneous Fréchet components ⋮ On the sample ranges from heterogeneous exponential variables ⋮ Stochastic comparisons of order statistics and spacings: a review ⋮ On sample ranges in multiple-outlier models ⋮ ORDERING PROPERTIES OF ORDER STATISTICS FROM HETEROGENEOUS POPULATIONS: A REVIEW WITH AN EMPHASIS ON SOME RECENT DEVELOPMENTS ⋮ COMMENTS ON THE SURVEY BY BALAKRISHNAN AND ZHAO ⋮ EQUIVALENT CHARACTERIZATIONS ON ORDERINGS OF ORDER STATISTICS AND SAMPLE RANGES ⋮ ORDERING CONVOLUTIONS OF HETEROGENEOUS EXPONENTIAL AND GEOMETRIC DISTRIBUTIONS REVISITED

Cites Work

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• CORRECTION TO “STOCHASTIC COMPARISONS OF PARALLEL SYSTEMS WHEN COMPONENTS HAVE PROPORTIONAL HAZARD RATES”
• Bivariate characterization of some stochastic order relations
• Analytic Inequalities
• Inequalities: theory of majorization and its applications
• Concepts de dépendance et ordres stochastiques pour des lois bidimensionnelles

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