Efficient classes of ratio-type estimators of population mean under stratified median ranked set sampling

Lakhkar Khan; Javid Shabbir; Cem Kadilar

Efficient classes of ratio-type estimators of population mean under stratified median ranked set sampling

Lakhkar Khan
, Javid Shabbir
, Cem Kadilar

Division of Operational Research

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this paper, we propose two efficient classes of ratio-type estimators for estimating the finite population mean (Y) under stratified median ranked set sampling (S_tMRSS) using the known auxiliary information. The biases and mean squared errors (MSEs) of the proposed classes of ratio-type estimators are derived upto first order of approximation. The proposed estimators are compared with some competitor estimators. It is demonstrated through simulation study that the proposed ratio-type estimators based on StMRSS are more efficient than the corresponding estimators in stratified ranked set sampling (S_tMRSS) given by Mandowara and Mehta [13].

Original language	English
Pages (from-to)	475-496
Number of pages	22
Journal	Pakistan Journal of Statistics
Volume	32
Issue number	6
Publication status	Published - Nov 2016

Keywords

Mean squared error
Ratio-type estimators
Stratified median ranked set sampling
Stratified ranked set sampling

Cite this

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title = "Efficient classes of ratio-type estimators of population mean under stratified median ranked set sampling",

abstract = "In this paper, we propose two efficient classes of ratio-type estimators for estimating the finite population mean (Y) under stratified median ranked set sampling (StMRSS) using the known auxiliary information. The biases and mean squared errors (MSEs) of the proposed classes of ratio-type estimators are derived upto first order of approximation. The proposed estimators are compared with some competitor estimators. It is demonstrated through simulation study that the proposed ratio-type estimators based on StMRSS are more efficient than the corresponding estimators in stratified ranked set sampling (StMRSS) given by Mandowara and Mehta [13].",

keywords = "Mean squared error, Ratio-type estimators, Stratified median ranked set sampling, Stratified ranked set sampling",

author = "Lakhkar Khan and Javid Shabbir and Cem Kadilar",

note = "Publisher Copyright: {\textcopyright} 2016 Pakistan Journal of Statistics.",

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AU - Khan, Lakhkar

AU - Shabbir, Javid

AU - Kadilar, Cem

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N2 - In this paper, we propose two efficient classes of ratio-type estimators for estimating the finite population mean (Y) under stratified median ranked set sampling (StMRSS) using the known auxiliary information. The biases and mean squared errors (MSEs) of the proposed classes of ratio-type estimators are derived upto first order of approximation. The proposed estimators are compared with some competitor estimators. It is demonstrated through simulation study that the proposed ratio-type estimators based on StMRSS are more efficient than the corresponding estimators in stratified ranked set sampling (StMRSS) given by Mandowara and Mehta [13].

AB - In this paper, we propose two efficient classes of ratio-type estimators for estimating the finite population mean (Y) under stratified median ranked set sampling (StMRSS) using the known auxiliary information. The biases and mean squared errors (MSEs) of the proposed classes of ratio-type estimators are derived upto first order of approximation. The proposed estimators are compared with some competitor estimators. It is demonstrated through simulation study that the proposed ratio-type estimators based on StMRSS are more efficient than the corresponding estimators in stratified ranked set sampling (StMRSS) given by Mandowara and Mehta [13].

KW - Mean squared error

KW - Ratio-type estimators

KW - Stratified median ranked set sampling

KW - Stratified ranked set sampling

UR - https://www.scopus.com/pages/publications/85010280340

M3 - Article

AN - SCOPUS:85010280340

SN - 1012-9367

VL - 32

SP - 475

EP - 496

JO - Pakistan Journal of Statistics

JF - Pakistan Journal of Statistics

IS - 6

ER -

Efficient classes of ratio-type estimators of population mean under stratified median ranked set sampling

Abstract

Keywords

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