Mean and sensitivity estimation in optional randomized response models
From MaRDI portal
Publication:984647
DOI10.1016/j.jspi.2010.03.010zbMath1191.62009OpenAlexW2075337765MaRDI QIDQ984647
Sat Gupta, Javid Shabbir, Supriti Sehra
Publication date: 20 July 2010
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.2010.03.010
Related Items (37)
Mean estimation with generalized scrambling using two-phase sampling ⋮ Using randomized response to estimate the population mean of a sensitive variable under the influence of measurement error ⋮ A generalized class of exponential type estimators for estimating the mean of the sensitive variable when using optional randomized response model ⋮ The joint influence of estimation of sensitive variable under measurement error and non-response using ORRT models ⋮ Mean estimation of a sensitive variable under nonresponse using three-stage RRT model in stratified two-phase sampling ⋮ Estimation of mean of sensitive variable using multiplicative scramble variable under measurement error ⋮ Estimation of the Mean of a Sensitive Variable in the Presence of Auxiliary Information ⋮ Optional randomized response techniques for quantitative characteristics ⋮ Use of scrambled response for estimating mean of the sensitivity variable ⋮ Estimation of finite population mean in stratified sampling using scrambled responses in the presence of measurement errors ⋮ Generalized exponential type estimator for the mean of sensitive variable in the presence of non-sensitive auxiliary variable ⋮ Mean estimation of sensitive variables under measurement errors using optional RRT models ⋮ Estimation of population proportion and sensitivity level using optional unrelated question randomized response techniques ⋮ Design-based distribution function estimation for stigmatized populations ⋮ Bayesian Analysis of a Sensitive Proportion for a Small Area ⋮ An efficient new scrambled response model for estimating sensitive population mean in successive sampling ⋮ A new procedure for variance estimation in simple random sampling using auxiliary information ⋮ Improvements and extensions of the item count technique ⋮ Improved randomized response in additive scrambling models ⋮ Model selection in randomized response techniques for binary responses ⋮ Analyzing continuous randomized response data with an indifference-zone selection procedure ⋮ Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information ⋮ Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information ⋮ An efficient scrambled estimator of population mean of quantitative sensitive variable using general linear transformation of non-sensitive auxiliary variable ⋮ Computing the effect of measurement errors under additive scramble response of the sensitive variable ⋮ 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 ⋮ A unified measure of respondent privacy and model efficiency in quantitative RRT models ⋮ Accounting for lack of trust in optional binary RRT models using a unified measure of privacy and efficiency ⋮ Mean estimation of a sensitive variable using optional randomized response technique in two-phase sampling when non-response and measurement error are simultaneously present ⋮ Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model ⋮ A Two-stage Binary Optional Randomized Response Model ⋮ 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* ⋮ Randomized response estimation in multiple frame surveys
Cites Work
This page was built for publication: Mean and sensitivity estimation in optional randomized response models
