2018arXiv (Cornell University)Open access

Optimal moment inequalities for order statistics from nonnegative random\n variables

Nickos Papadatos

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Abstract

We obtain the best possible upper bounds for the moments of a single order\nstatistic from independent, non-negative random variables, in terms of the\npopulation mean. The main result covers the independent identically distributed\ncase. Furthermore, the case of the sample minimum for merely independent (not\nnecessarily identically distributed) random variables is treated in detail.\n Key-words and phrases: order statistics; optimal moment bounds; nonnegative\nrandom variables; sample minimum; reliability systems.\n

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We obtain the best possible upper bounds for the moments of a single order\nstatistic from independent, non-negative random variables, in terms of the\npopulation mean. The main result covers the independent identically distributed\ncase. Furthermore, the case of the sample minimum for merely independent (not\nnecessarily identically distributed) random variables is treated in detail.\n Key-words and phrases: order statistics; optimal moment bounds; nonnegative\nrandom variables; sample minimum; reliability systems.\n

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Available abstract

We obtain the best possible upper bounds for the moments of a single order\nstatistic from independent, non-negative random variables, in terms of the\npopulation mean. The main result covers the independent identically distributed\ncase. Furthermore, the case of the sample minimum for merely independent (not\nnecessarily identically distributed) random variables is treated in detail.\n Key-words and phrases: order statistics; optimal moment bounds; nonnegative\nrandom variables; sample minimum; reliability systems.\n

Key concepts: Independent and identically distributed random variables, Order statistic, Mathematics, Random variable, Statistics, Moment (physics), Statistic, Simple random sample

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