Unbiased estimators of mean, variance and sensitivity level for quantitative characteristics in finite population sampling

DOI10.1007/s00184-009-0234-7zbMath1185.62025OpenAlexW2047724273MaRDI QIDQ964815

Kuo-Chung Huang

Publication date: 21 April 2010

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-009-0234-7

zbMATH Keywords

randomized responsesimple random sampling with replacementpercent relative efficiencysample size allocation

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (16)

Mean estimation with generalized scrambling using two-phase sampling ⋮ Estimation of sensitive proportion by randomized response data in successive sampling ⋮ Estimation of stigmatized population total: A new additive quantitative randomized response model ⋮ Optional randomized response techniques for quantitative characteristics ⋮ Estimation of population proportion in randomized response sampling using weighted confidence interval construction ⋮ Unnamed Item ⋮ Improved randomized response in additive scrambling models ⋮ Mean and sensitivity estimation of a sensitive variable through additive scrambling ⋮ A three-stage optional randomized response model ⋮ Ratio estimation of finite population mean using optional randomized response models ⋮ Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model ⋮ Unnamed Item ⋮ Unnamed Item ⋮ A regression estimator for finite population mean of a sensitive variable using an optional randomized response model ⋮ Generalized Scrambling in Quantitative Optional Randomized Response Models ⋮ Estimation of finite population distribution function of sensitive variable*

Cites Work

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• Procuring honest responses indirectly.
• Randomized response revisited
• Christofides' randomized response technique in complex sample surveys
• A note on randomized response models for quantitative data
• Some alternative strategies to Moors' model in randomized response sampling
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• A survey technique for estimating the proportion and sensitivity in a dichotomous finite population
• Using randomized response from a complex survey to estimate a sensitive proportion in a dichotomous finite population
• Estimation of proportion and sensitivity of a qualitative character
• Estimation of mean and variance of stigmatized quantitative variable using distinct units in randomized response sampling
• Estimation of sensitivity level of personal interview survey questions

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