A modified regression-cum-ratio estimator for finite population mean in presence of nonresponse using ranked set sampling

A modified regression-cum-ratio estimator for finite population mean in presence of nonresponse using ranked set sampling

Several situations arise where decision-making is required for some characteristics of an asymmetrical population for example estimation of the weekly number of server breakdowns at a company. The estimation methods based upon classical sampling designs are not suitable in such situations and some s...

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Bibliographic Details
Main Authors: Mehreen Fatima, Saman Hanif Shahbaz, Muhammad Hanif, Muhammad Qaiser Shahbaz
Format: Article
Language:English
Published: AIMS Press 2022-01-01
Series:AIMS Mathematics
Subjects:
regression-cum-ratio estimator
auxiliary variables
ranked set sampling
non-response
double sampling
asymmetrical populations
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2022361?viewType=HTML

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