Improving a novel quantitative randomized response method using auxiliary variable information
In the majority of sample surveys, the variable of interest might have sensitive characteristics. Since we frequently get unrealistic responses from respondents during interviews as employing the direct method is not seen logical in these situations. To tackle this difficulty, the randomized respons...
Saved in:
| Main Authors: | Hamed Salemian, Eisa Mahmoudi, Osama Abdulaziz Alamri, Javid Shabbir |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024163980 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improved estimator for the estimation of sensitive variable using ORRT models
by: Sunil Kumar, et al.
Published: (2024-12-01) -
A Ratio Estimator for the Mean Using a Mixture Optional Enhance Trust (MOET) Randomized Response Model
by: Sat Gupta, et al.
Published: (2024-11-01) -
A family of estimators for variance estimation
by: Housila P. Singh, et al.
Published: (2024-12-01) -
A Survey on Illicit Drug Use among University Students by Binary Randomized Response Technique: Crosswise Design
by: Nilgün Özgül
Published: (2020-04-01) -
On indirect estimation of small area parameters under ranked set sampling
by: Shakeel Ahmed, et al.
Published: (2024-11-01)