Title
Resampling methods for ranked set samples
Abstract
When measuring units are expensive or time consuming, while ranking them can be done easily, it is known that ranked set sampling (RSS) is preferred to simple random sampling (SRS). Available results for RSS are developed under specific parametric assumptions or are asymptotic in nature, with few results available for finite size samples when the underlying distribution of the observed data is unknown. We investigate the use of resampling techniques to draw inferences on population characteristics. To obtain standard error and confidence interval estimates we discuss and compare three methods of resampling a given ranked set sample. Chen et al. (2004. Ranked Set Sampling: Theory and Applications. Springer, New York) suggest a natural method to obtain bootstrap samples from each row of a RSS. We prove that this method is consistent for a location estimator. We propose two other methods that are designed to obtain more stratified resamples from the given sample. Algorithms are provided for these methods. We recommend a method that obtains a bootstrap RSS from the observations. We prove several properties of this method, including consistency for a location parameter. We define two types of L-estimators for RSS and obtain expressions for their exact moments. We discuss an application to obtain confidence intervals for the Winsorized mean of a RSS.
Year
DOI
Venue
2006
10.1016/j.csda.2005.10.010
Computational Statistics & Data Analysis
Keywords
Field
DocType
location estimator,finite size sample,bootstrap rss,simple random sampling,resampling method,bootstrap sample,resampling technique,confidence interval,location parameter,natural method,available result,l estimator,rss,standard error
Econometrics,Simple random sample,Parametric statistics,Sampling (statistics),Winsorized mean,Statistics,RSS,Resampling,Sample size determination,Mathematics,Consistent estimator
Journal
Volume
Issue
ISSN
51
2
Computational Statistics and Data Analysis
Citations 
PageRank 
References 
9
2.23
0
Authors
3
Name
Order
Citations
PageRank
Reza Modarres1409.30
Terrence P. Hui292.23
Gang Zheng3134.57