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--- seminars:stat:170126 [2017/01/17 14:53] – shang
+++ seminars:stat:170126 [2017/01/23 03:12] (current) – sdang
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+~~META:title =January 26, 2017~~
+<WRAP 70% center>
+^  **DATE:**|Thursday, January 26, 2017 |
+^  **TIME:**|1.15p-2.15p |
+^  **LOCATION:**|WH 100E |
+^  **SPEAKER:**|Qiqing Yu, Binghamton University |
+^  **TITLE:**|The Marginal Distribution Approach  For Testing Independence And Goodness-of-fit In Linear Models |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+We propose a valid test to
+simultaneously test the assumption of independence and googness-fit
+for a linear regression model.
+Our approach is based on the difference between
+two estimators of the marginal distribution
+$F_Y$ of the response variable $Y$, and thus it is called the MD approach.
+We setablish the consistency of the MD test.
+We compare the MD approach to the existing tests through simulation
+studies.  The MD approach has certain  advantages over
+the existing methods
+and form a nice supplement.
+We apply the MD  approach to  a cancer research data.
+</WRAP>