Title : ( On estimating the distribution function and odds using ranked set sampling )
Authors: Abbas Eftekharian , Mostafa Razmkhah ,
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Abstract
The kernel estimators of the cumulative distribution function and population odds are proposed based on ranked set sampling scheme. It is shown that the kernel estimators are more efficient than the empirical ones in view of the mean squared error criterion. It is also concluded that ranked set sampling has better performance than simple random sampling, even when the rankings are not perfect.
Keywords
Bounded kernel function; Efficiency; Empirical estimator; Imperfect rankings; Mean integrated squared; error; Odds parameter; Order statistics.
@article{paperid:1060715,
author = {Eftekharian, Abbas and Razmkhah, Mostafa},
title = {On estimating the distribution function and odds using ranked set sampling},
journal = {Statistics and Probability Letters},
year = {2017},
volume = {122},
number = {1},
month = {February},
issn = {0167-7152},
pages = {1--10},
numpages = {9},
keywords = {Bounded kernel function; Efficiency; Empirical estimator; Imperfect rankings; Mean integrated squared; error; Odds parameter; Order statistics.},
}
%0 Journal Article
%T On estimating the distribution function and odds using ranked set sampling
%A Eftekharian, Abbas
%A Razmkhah, Mostafa
%J Statistics and Probability Letters
%@ 0167-7152
%D 2017
