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Class(es) of Factor-Type Estimator(s) in Presence of Measurement Error
2012
Journal of Modern Applied Statistical Methods
When data is collected via sample survey it is assumed whatever is reported by a respondent is correct. However, given the issues of prestige bias, personal respect and honor, respondents' self-reported data often produces over-or under-estimated values as opposed to true values regarding the variables under question. This causes measurement error to be present in sample values. This article considers the factortype estimator as an estimation tool and examines its performance under a
doi:10.22237/jmasm/1351742700
fatcat:vzxeqkguordh5nbxbcnnhjzppi