Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model
From MaRDI portal
Publication:2083420
DOI10.1214/22-BJPS535zbMath1496.62034OpenAlexW4297196210WikidataQ115517646 ScholiaQ115517646MaRDI QIDQ2083420
Lovleen Kumar Grover, Amanpreet Kaur
Publication date: 10 October 2022
Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/22-bjps535
biasmean square errorratio estimatorauxiliary informationrandomized response techniqueexponential estimatoroptional randomized response model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information
- A mixed randomized response model
- A class of estimators for quantitative sensitive data
- Unbiased estimators of mean, variance and sensitivity level for quantitative characteristics in finite population sampling
- Mean and sensitivity estimation in optional randomized response models
- Computing the effect of measurement errors under additive scramble response of the sensitive variable
- An efficient scrambled estimator of population mean of quantitative sensitive variable using general linear transformation of non-sensitive auxiliary variable
- Ratio estimation of finite population mean using optional randomized response models
- A randomized response technique for quantitative data under unequal probability sampling
- Improved Exponential Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information
- Generalized Scrambling in Quantitative Optional Randomized Response Models
- Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
- An alternative randomized response procedure
- Ratio and Product Type Exponential Estimators
- A New Improved Estimator of Population Mean in Partial Additive Randomized Response Models
- Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable
- Mean estimation with generalized scrambling using two-phase sampling
- Combining answers to direct and indirect questions: An implementation of Kuk’s randomized response model
- A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information
- Corrected estimator of sensitive population proportion using unknown repeated trials in the unrelated question randomized response model
- A regression estimator for finite population mean of a sensitive variable using an optional randomized response model
- Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information
- Estimation of sensitivity level of personal interview survey questions
This page was built for publication: Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model