Ratio estimation of finite population mean using optional randomized response models

DOI10.1080/15598608.2014.977982zbMath1423.62006OpenAlexW2055614844MaRDI QIDQ2320977

Bal Kishan Dass, Geeta Kalucha, Sat Narain Gupta

Publication date: 28 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2014.977982

zbMATH Keywords

mean square errorratio estimatorauxiliary informationsimple random sampling without replacementrandomized response techniqueoptional ORR models

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistical aspects of information-theoretic topics (62B10)

Related Items (6)

Mean estimation with generalized scrambling using two-phase sampling ⋮ Use of scrambled response for estimating mean of the sensitivity variable ⋮ A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information ⋮ An efficient scrambled estimator of population mean of quantitative sensitive variable using general linear transformation of non-sensitive auxiliary variable ⋮ Estimation of mean of a sensitive variable using efficient exponential-type estimators in stratified sampling ⋮ Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model

Cites Work

• Unnamed Item
• Unnamed Item
• Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information
• A mixed randomized response model
• Improvement in estimating the population mean in simple random sampling
• Unbiased estimators of mean, variance and sensitivity level for quantitative characteristics in finite population sampling
• Mean and sensitivity estimation in optional randomized response models
• A stratified Warner's randomized response model.
• A randomized response technique for quantitative data under unequal probability sampling
• Generalized Scrambling in Quantitative Optional Randomized Response Models
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• A New Model for Randomized Response
• Estimation of sensitivity level of personal interview survey questions

This page was built for publication: Ratio estimation of finite population mean using optional randomized response models