Article ID Journal Published Year Pages File Type
7548166 Statistics & Probability Letters 2018 5 Pages PDF
Abstract
This paper considers M-estimation for randomly truncated data. We propose a new estimation for left truncated data, and establish the sample properties of the proposed estimator. Finite sample performance of the proposed estimator is investigated via simulation studies.
Keywords
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Preview
A weighted M-estimator for linear regression models with randomly truncated data
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