An innovative optimal randomized response model using correlated scrambling variables
From MaRDI portal
Publication:5036910
DOI10.1080/00949655.2020.1791118OpenAlexW3045216303MaRDI QIDQ5036910
Zawar Hussain, Sarjinder Singh, Maryam Murtaza
Publication date: 23 February 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1791118
population meanscrambled responsesensitive variableoptimum estimationcorrelated scrambling variables
Related Items (3)
Efficient class of estimators for the estimation of the mean of a sensitive variable using multi-auxiliary variables ⋮ An enhanced ratio-cum-product estimator with non-response and observational error by utilizing ORRT models: a sensitive estimation approach ⋮ Using the exponential function of scrambling variable in quantitative randomized response models
Cites Work
- Unnamed Item
- Unnamed Item
- Data gathering, analysis and protection of privacy through randomized response techniques: qualitative and quantitative human traits
- Forced quantitative randomized response model: a new device
- A note on randomized response models for quantitative data
- Forcibly re-scrambled randomized response model for simultaneous estimation of means of two sensitive variables
- Indirect Questioning in Sample Surveys
- Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
- REGRESSION ANALYSIS USING SCRAMBLED RESPONSES
- An improved randomized response model: estimation of mean
- Hansen and Hurwitz estimator with scrambled response on the second call
This page was built for publication: An innovative optimal randomized response model using correlated scrambling variables