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--- seminars:stat:210902 [2021/08/26 18:05] – created qyu
+++ seminars:stat:210902 [2021/09/02 17:08] (current) – qyu
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, Sept. 2, 2021 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|zoom meeting |
+^  **SPEAKER:**|Qiqing Yu, Binghamton University |
+^  **TITLE:**|The Generalized MLE With Truncated Interval-Censored  Data  |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+The generalized maximum likelihood estimator  (GMLE)
+ of a survival function $S_o(t)$ based on truncated interval-censored (IC)  data
+has been studied since 1990's.
+ In this literature
+there are several issues that have not been properly  settled in how to compute the GMLE  and in theoretical part:
+ innermost intervals based on these data are not correctly formulated and they lead to inconsistent GMLE,
+the self-consistent algorithm for the GMLE is wrong,
+the truncated interval censorship  models are not realistic,
+and the consistency of the GMLE has not been established.  These issues are settled in this paper.
+</WRAP>