eprintid: 12897
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/28/97
datestamp: 2023-11-10 03:27:27
lastmod: 2023-11-10 03:27:27
status_changed: 2023-11-10 01:49:48
type: article
metadata_visibility: show
creators_name: Khan, Z.
creators_name: Shabbir, J.
creators_name: Gupta, S.
creators_name: Shamim, A.
title: An optimal systematic sampling scheme
ispublished: pub
note: cited By 3
abstract: This paper aims to increase the efficiency of estimator through the optimal pairing of units in systematic sampling. The proposed Optimal Systematic Sampling Scheme is very simple, yet more generalized than any other systematic sampling scheme available in the literature. This scheme is applicable not only for the case where population size is multiple of sample size but also for other cases where this condition may not hold. Efficiency comparisons with the well-known sampling schemes have also been carried out both theoretically and numerically. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
date: 2020
publisher: Taylor and Francis Ltd.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084325160&doi=10.1080%2f00949655.2020.1760276&partnerID=40&md5=319379bf7b2c0995043738168a61ad23
id_number: 10.1080/00949655.2020.1760276
full_text_status: none
publication: Journal of Statistical Computation and Simulation
volume: 90
number: 11
pagerange: 2023-2036
refereed: TRUE
issn: 00949655
citation:   Khan, Z. and Shabbir, J. and Gupta, S. and Shamim, A.  (2020) An optimal systematic sampling scheme.  Journal of Statistical Computation and Simulation, 90 (11).  pp. 2023-2036.  ISSN 00949655