Efficient Wald-Type Estimators for Simple Linear Measurement Error Model


In this paper, Wald-type estimators for simple linear measurement error model presented based on L Ranked Set Sampling (LRSS) technique. The proposed estimators are compared to their counterparts based on Simple Random Sampling (SRS) and Ranked Set Sampling (RSS). It appears that the suggested estimators are more efficient. A real data set of student achievements is studied, a simulated data also is used to show how much efficient the use of the ranked data to estimate the EIV model parameter.

DOI Code:

Keywords: Errors–in-Variables; Grouping Methods; Ranked Set Sampling; L Ranked Set Sampling; Simple Random Sampling

Full Text: PDF

Creative Commons License
This work is licensed under a Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.