Let Y1,...,Yn be the order statistics of a simple random sample from a finite or infinite population, having median =M. We compare the variables Yj-M and Ym-M, where Ym is the sample median, that is, for odd n. The comparison is in terms of the likelihood ratio order, which implies stochastic order as well as other orders. The results were motivated by the study of best invariant and minimax estimators for the k/N quantile of a finite population of size N, with a natural loss function of the type , where FN is the population distribution function, t is an estimate, and g is an increasing function.
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
International audienceMotivated by applications in reliability theory, we define a preordering (X su...
This paper examines the distribution of order statistics from simple-random-sampling without replace...
In recent times, the role of statistical methods based on order statistics has become more and more ...
Statistical methods based on nonparametric and distribution-free procedures require the use of order...
This dissertation adds some new results to the theory of stochastic orders. Chapter 1 contains defin...
International audienceIn this paper the meaning of the stochastic ordering relation is studied when ...
Order statistics and linear functions of order statistics are frequently used as estimators of locat...
We show that the order statistics, in a sample from a distribution that has a logconcave density fun...
AbstractFor any positive integers m and n, let X1,X2,…,Xm∨n be independent random variables with pos...
This paper deals with the stochastic comparison of order statistics and their mixtures. For a random...
In this article, we establish some results concerning the likelihood ratio order of random vectors o...
AbstractThe basic result of the paper states: Let F1, …, Fn, F1′,…, Fn′ have proportional hazard fun...
Generalized order statistics unify the study of order statistics, record values, k-records, Pfeiferr...
The concept of generalized order statistics was introduced as a unified approach to a variety of mod...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
International audienceMotivated by applications in reliability theory, we define a preordering (X su...
This paper examines the distribution of order statistics from simple-random-sampling without replace...
In recent times, the role of statistical methods based on order statistics has become more and more ...
Statistical methods based on nonparametric and distribution-free procedures require the use of order...
This dissertation adds some new results to the theory of stochastic orders. Chapter 1 contains defin...
International audienceIn this paper the meaning of the stochastic ordering relation is studied when ...
Order statistics and linear functions of order statistics are frequently used as estimators of locat...
We show that the order statistics, in a sample from a distribution that has a logconcave density fun...
AbstractFor any positive integers m and n, let X1,X2,…,Xm∨n be independent random variables with pos...
This paper deals with the stochastic comparison of order statistics and their mixtures. For a random...
In this article, we establish some results concerning the likelihood ratio order of random vectors o...
AbstractThe basic result of the paper states: Let F1, …, Fn, F1′,…, Fn′ have proportional hazard fun...
Generalized order statistics unify the study of order statistics, record values, k-records, Pfeiferr...
The concept of generalized order statistics was introduced as a unified approach to a variety of mod...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
International audienceMotivated by applications in reliability theory, we define a preordering (X su...
This paper examines the distribution of order statistics from simple-random-sampling without replace...