A MOMENT PROBLEM FOR ORDER STATISTICS,
Abstract
Necessary and sufficient conditions are given for a triangular array of numbers to be expectations of order statistics of some non-negative random variable. Using well-know recurrence relations, the expections of all order statistics of the largest sample size, n, in the triangular array, or the expectations of the smallest of every sample size up to and including n are sufficient to determine the whole array. The former are reduced to a Stieltjes moment problem, the latter to a Hausdorff moment problem. These results are applied to show that for every smaple size, there is a positive random variable with geometrically increasing expectations of order statistics with arbitrary ratio and expectation of smallest order statistic. However, only the degenerate distributions have geometrically increasing expectations of order statistics for more than one sample size, even when the ratio and mean of the smallest order statistic can depend on the sample size. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 13, 1970
- Accession Number
- AD0699514
Entities
People
- Joseph B. Kadane
Organizations
- Center for Naval Analyses