Estimating the covariance of bivariate order statistics with applications
β Scribed by Alan D. Hutson
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 124 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
In this note we develop a new analytic bootstrap-type method for estimating the covariance between the bivariate order statistics Xr:n and Ys:n. Correlation and regression estimators follow straightforward from this result. An easy-to-use method for calculating the nonparametric percentile conΓΏdence regions for bivariate quantiles is developed and illustrated using biological data. A speciΓΏc case of interest is the application to bivariate medians, i.e., correlated marginal medians.
π SIMILAR VOLUMES
This paper is concerned with the bivariate extension of a wide class of univariate orderings said to be of convex-type. Attention is paid to random vectors valued in a rectangle or an orthant of the real plane. Various orderings used in probability and statistics (such as the stochastic dominance, t
Based on a necessary condition for variability ordering of distributions with regularly varying tails it is shown that, for such distributions, order statistics from the same sample are not comparable in the sense of several well-known variability orders. General restrictions in the two-sample case