Estimation of population mean when coefficient of variation is known using scrambled response technique

DOI10.1016/j.jspi.2004.01.002zbMath1067.62014OpenAlexW2016121242MaRDI QIDQ1776859

Nidhi Mathur, Housila Prasad Singh

Publication date: 12 May 2005

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2004.01.002

zbMATH Keywords

tablesMean square errorCoefficient of variationOptimum estimatorPercent relative efficiencyScrambled response technique

Mathematics Subject Classification ID

Related Items (12)

Sequential estimation of an inverse Gaussian mean with known coefficient of variation ⋮ Estimating the Mean of Normal Distribution with Known Coefficient of Variation ⋮ An efficient randomized response model utilizing higher order moments ratios of scrambling variables ⋮ An improved randomized response model: estimation of mean ⋮ New scrambled response models for estimating the mean of a sensitive quantitative character ⋮ A stratified randomized response model for sensitive characteristics using the negative hypergeometric distribution ⋮ Computing the effect of measurement errors under additive scramble response of the sensitive variable ⋮ An Improved Class of Estimators for the General Population Parameters Using Auxiliary Information ⋮ Improved Bar-Lev, Bobovitch, and Boukai Randomized Response Models ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Ratio methods to the mean estimation with known quantiles

Cites Work

• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Estimating the Mean of a Normal Distribution with Known Coefficient of Variation
• A Comparison of Three Randomized Response Models for Quantitative Data
• Estimation of the population mean when the coefficient of variation is known
• A Note on Estimating the Mean of a Normal Distribution with Known Coefficient of Variation
• The Utilization of a Known Coefficient of Variation in the Estimation Procedure
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