Calibration approach estimators in stratified sampling
type: Item
instance of: scholarly article
title: Calibration approach estimators in stratified sampling
zbMATH Open document ID: 1106.62010
author: Jong-Min Kim
author: Engin A. Sungur
author: Tae-Young Heo
published in: Statistics \& Probability Letters
publication date: 2007-03-12T00:00:00Z
Mathematics Subject Classification ID: 62D05
zbMATH DE Number: 5133036
zbMATH Keywords: calibration approach
zbMATH Keywords: stratified sampling
zbMATH Keywords: estimation of variance
zbMATH Keywords: ratio and regression-type estimator
zbMATH Keywords: auxiliary information
MaRDI profile type: Publication
full work available at URL: j.spl.2006.05.015
OpenAlex ID: W2078989012
cites work: Calibration Estimators in Survey Sampling
cites work: Ratio Estimators in Stratified Random Sampling
cites work: Efficient Estimators With Simple Variance in Unequal Probability Sampling
cites work: Generalized calibration approach for estimating variance in survey sampling
cites work: Calibration of the estimators of variance
cites work: A Class of Ratio-Cum-Product-Type Estimator
cites work: Efficient Estimation of Quadratic Finite Population Functions in the Presence of Auxiliary Information
cites work: Q4700225
cites work: Q3696292
cites work: A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
DOI: 10.1016/J.SPL.2006.05.015
description: scientific article; zbMATH DE number 5133036