Hansen and Hurwitz estimator with scrambled response on the second call
From MaRDI portal
Publication:5128607
DOI10.1080/02664763.2013.846305OpenAlexW1963973430MaRDI QIDQ5128607
Javid Shabbir, Saba Riaz, Giancarlo Diana
Publication date: 28 October 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2013.846305
Related Items (10)
Variance estimation based on L-moments and auxiliary information ⋮ An innovative optimal randomized response model using correlated scrambling variables ⋮ The joint influence of estimation of sensitive variable under measurement error and non-response using ORRT models ⋮ Some estimation procedures of sensitive character using scrambled response techniques in successive sampling ⋮ An enhanced ratio-cum-product estimator with non-response and observational error by utilizing ORRT models: a sensitive estimation approach ⋮ Using ORRT models for mean estimation under nonresponse and measurement errors in stratified successive sampling ⋮ Mean estimation of sensitive variables under non-response and measurement errors using optional RRT models ⋮ Mean estimation in the simultaneous presence of measurement errors and non-response using optional RRT models under stratified sampling ⋮ Ratio-type exponential estimator for the population mean at the current occasion in the presence of non-response in successive sampling ⋮ Mean estimation of a sensitive variable using optional randomized response technique in two-phase sampling when non-response and measurement error are simultaneously present
Cites Work
- Unnamed Item
- Unnamed Item
- A class of estimators for quantitative sensitive data
- An improved class of estimators for the population mean
- Estimating a sensitive proportion through randomized response procedures based on auxiliary information
- Improved estimation of population mean under two-phase sampling with subsampling the non-respondents
- A note on randomized response models for quantitative data
- A class of estimators in two-phase sampling with subsampling the non-respondents
- Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
- An alternative randomized response procedure
- Improved Estimation of Finite-Population Mean Using Sub-Sampling to Deal with Non Response in Two-Phase Sampling Scheme
- A Comparison of Three Randomized Response Models for Quantitative Data
- Transformed ratio type estimators for the population mean in the presence of nonresponse
- A New Model for Randomized Response
- New scrambled response models for estimating the mean of a sensitive quantitative character
This page was built for publication: Hansen and Hurwitz estimator with scrambled response on the second call