Särndal Approach and Separate Type Quantile Robust Regression Type Mean Estimators for Nonsensitive and Sensitive Variables in Stratified Random Sampling

A generalized class of estimators for sensitive variable in the presence of measurement error and non-response under stratified random sampling

(2021) Erum Zahid et al.   JOURNAL OF KING SAUD UNIVERSITY SCIENCE

Modified regression estimators using robust regression methods and covariance matrices in stratified random sampling

(2019) Tolga Zaman et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Robust-regression-type estimators for improving mean estimation of sensitive variables by using auxiliary information

(2019) Nasir Ali et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

An improved class of robust ratio estimators by using the minimum covariance determinant estimation

(2019) Hasan Bulut et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information

(2018) Usman Shahzad et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Modified ratio estimators using robust regression methods

(2018) Tolga Zaman et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

The evaluation of socio-economic development of development agency regions in Turkey using classical and robust principal component analyses

(2016) Hasan Bulut et al.   JOURNAL OF APPLIED STATISTICS

Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values

(2013) Manzoor Khan et al.   TheScientificWorldJOURNAL

Efficient estimators of population mean using auxiliary attributes

(2012) Nursel Koyuncu   APPLIED MATHEMATICS AND COMPUTATION