Some improved ratio, product, and regression estimators of finite population mean when using minimum and maximum values
type: Item
instance of: scholarly article
title: Some improved ratio, product, and regression estimators of finite population mean when using minimum and maximum values
zbMATH Open document ID: 1328.62424
DOI: 10.1155/2013/431868
author: Manzoor Khan
author: Javid Shabbir
published in: The Scientific World Journal. Probability and Statistics
publication date: 2016-01-13T00:00:00Z
review text: Summary: Efficient estimation of finite population mean is carried out by using the auxiliary information meaningfully. In this paper, we have suggested some modified ratio, product, and regression type estimators when using minimum and maximum values. Expressions for biases and mean squared errors of the suggested estimators have been derived up to the first order of approximation. The performances of the suggested estimators, relative to their usual counterparts, have been studied, and improved performance has been established. The improvement in efficiency by making use of maximum and minimum values has been verified numerically.
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62J07
zbMATH DE Number: 6529661
Wikidata QID: Q51131945
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/431868
OpenAlex ID: W2148526145
cites work: Improved Family of Ratio Estimators in Simple and Stratified Random Sampling
cites work: Improved class of ratio and product estimators
cites work: Improvement in estimating the population mean in simple random sampling
cites work: Ratio and product estimators in stratified random sampling
description: scientific article; zbMATH DE number 6529661