Separate and combined ratio, product and difference estimators are introduced for population mean μY of a study variable Y using auxiliary variable X in stratified sampling when the observations are contaminated with measurement errors. The bias and mean squared error of the proposed estimators have been derived under large sample approximation and their properties are analyzed. Generalized versions of these estimators are given along with their properties.
Singh, Housila P. and Karpe, Namrata
"Effect of Measurement Errors on the Separate and Combined Ratio and Product Estimators in Stratified Random Sampling,"
Journal of Modern Applied Statistical Methods:
2, Article 8.
Available at: http://digitalcommons.wayne.edu/jmasm/vol9/iss2/8