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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. (C) 2018 Elsevier B.V. All rights reserved.
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Source ：
STATISTICS & PROBABILITY LETTERS
ISSN： 0167-7152
Year： 2018
Volume： 138
Page： 90-94
0 . 8 0 0
JCR@2022
ESI Discipline： MATHEMATICS;
ESI HC Threshold：63
JCR Journal Grade：4
Cited Count：
WoS CC Cited Count： 5
SCOPUS Cited Count： 5
ESI Highly Cited Papers on the List： 0 Unfold All
WanFang Cited Count：
Chinese Cited Count：
30 Days PV： 3
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