Publication date
January 2002
DOI Publisher
Springer Science and Business Media LLCAbstract
10.1023/A:1022423429880Annals of the Institute of Statistical Mathematics543626-640AISX
10.1023/A:1022423429880Annals of the Institute of Statistical Mathematics543626-640AISX
Ranked set sampling is a desirable sampling technique where the ranking of the sample observations d...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
In the situation where the sampling units in a study can be easily ranked than quantified, the ranke...
Asymptotic normality, asymptotic relative efficiency, M-estimates, optimal sampling design, ranked-s...
Ranked set sampling is a cost efficient sampling technique when actually measuring sampling units is...
Recently, a generalized ranked set sampling (RSS) scheme has been introduced which encompasses sever...
Statistical inference based on ranked set sampling has primarily been motivated by nonparametric pro...
10.1016/S0378-3758(02)00302-6Journal of Statistical Planning and Inference1091-281-99JSPI
10.1016/S0378-3758(00)00140-3Journal of Statistical Planning and Inference921-2181-192JSPI
Consider a location family of distributions generated by a symmetric and unimodal density w.r.t. Leb...
A review of results concerning the problem of sampling based on ranked sets is presented. From an in...
AbstractThe closed-form maximum likelihood estimators (MLEs) of population mean and variance under r...
This paper proposes a sampling procedure called selected ranked set sampling (SRSS), in which only s...
The closed-form maximum likelihood estimators (MLEs) of population mean and variance under ranked se...
The present article discusses the issue of population mean estimation in the ranked set sampling fra...
Ranked set sampling is a desirable sampling technique where the ranking of the sample observations d...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
In the situation where the sampling units in a study can be easily ranked than quantified, the ranke...
Asymptotic normality, asymptotic relative efficiency, M-estimates, optimal sampling design, ranked-s...
Ranked set sampling is a cost efficient sampling technique when actually measuring sampling units is...
Recently, a generalized ranked set sampling (RSS) scheme has been introduced which encompasses sever...
Statistical inference based on ranked set sampling has primarily been motivated by nonparametric pro...
10.1016/S0378-3758(02)00302-6Journal of Statistical Planning and Inference1091-281-99JSPI
10.1016/S0378-3758(00)00140-3Journal of Statistical Planning and Inference921-2181-192JSPI
Consider a location family of distributions generated by a symmetric and unimodal density w.r.t. Leb...
A review of results concerning the problem of sampling based on ranked sets is presented. From an in...
AbstractThe closed-form maximum likelihood estimators (MLEs) of population mean and variance under r...
This paper proposes a sampling procedure called selected ranked set sampling (SRSS), in which only s...
The closed-form maximum likelihood estimators (MLEs) of population mean and variance under ranked se...
The present article discusses the issue of population mean estimation in the ranked set sampling fra...
Ranked set sampling is a desirable sampling technique where the ranking of the sample observations d...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
In the situation where the sampling units in a study can be easily ranked than quantified, the ranke...
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