A generalized class of estimators for sensitive variable in the presence of measurement error and non-response.
PLoS One
; 17(1): e0261561, 2022.
Article
in En
| MEDLINE
| ID: mdl-35045076
ABSTRACT
In this paper, a general class of estimators is proposed for estimating the finite population mean for sensitive variable, in the presence of measurement error and non-response in simple random sampling. Expressions for bias and mean square error up to first order of approximation, are derived. Impact of measurement errors is examined using real data sets, including the survey conducted at Quaid-i-Azam University, Islamabad. Simulated data sets are also used to observe the performance of the proposed estimators in comparison to some other estimators. We obtain the empirical bias and MSE values for the proposed and the competing estimators.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Models, Statistical
Type of study:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
PLoS One
Journal subject:
CIENCIA
/
MEDICINA
Year:
2022
Document type:
Article
Affiliation country:
Pakistan