2013•Unpublished venueRequires access

The digital characteristics and the asymptotic properties of order statistics from Kumaraswamy distribution

JI Xi-x

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Abstract

Let {Xk,1≤ k ≤n}be independent and identically distributed random variables,X(1),X(2),······ X(n) be their order statistics. The joint probability density function of its order statistics and the density functions of extreme order statistics were obtained, whenX( k) followed Kumaraswamy distribution with parameters(λ,φ). The explicit formulas for the moment of order k aboutX(1) andX( n) were also obtained. What's more, the asymptotic distributions of the extreme order statisticsX(1) andX( n) were discussed.

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What this paper is about

Let {Xk,1≤ k ≤n}be independent and identically distributed random variables,X(1),X(2),······ X(n) be their order statistics. The joint probability density function of its order statistics and the density functions of extreme order statistics were obtained, whenX( k) followed Kumaraswamy distribution with parameters(λ,φ). The explicit formulas for the moment of order k aboutX(1) andX( n) were also obtained. What's more, the asymptotic distributions of the extreme order statisticsX(1) andX( n) were discussed.

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Available abstract

Let {Xk,1≤ k ≤n}be independent and identically distributed random variables,X(1),X(2),······ X(n) be their order statistics. The joint probability density function of its order statistics and the density functions of extreme order statistics were obtained, whenX( k) followed Kumaraswamy distribution with parameters(λ,φ). The explicit formulas for the moment of order k aboutX(1) andX( n) were also obtained. What's more, the asymptotic distributions of the extreme order statisticsX(1) andX( n) were discussed.

Key concepts: Order statistic, Independent and identically distributed random variables, Mathematics, Statistics, Moment-generating function, Probability density function, Order (exchange), Joint probability distribution

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