On optimal choice of order statistics in large samples for the construction of confidence regions for the location and scale

被引:0
|
作者
Alexander Zaigraev
Magdalena Alama-Bućko
机构
[1] Nicolaus Copernicus University,Faculty of Mathematics and Computer Science
[2] University of Technology and Life Sciences,Institute of Mathematics and Physics
来源
Metrika | 2013年 / 76卷
关键词
Order statistics; Optimal confidence regions; Pivot; Location-scale population;
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摘要
Given a large sample from a location-scale population we estimate the unknown parameters by means of confidence regions constructed on the basis of two order statistics. The problem of the best choice of those statistics to obtain good estimates, as \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n\rightarrow \infty ,$$\end{document} is considered.
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页码:577 / 593
页数:16
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