seminars:stat:2220414 [Department of Mathematics and Statistics, Binghamton University]

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<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>

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^  **DATE:**|Thursday, April 14, 2022 |
^  **TIME:**|1:15pm -- 2:15pm |
^  **LOCATION:**|Zoom meeting |
^  **SPEAKER:**|Zifan Huang, Binghamton  University |
^  **TITLE:**|The Maximum Likelihood Estimator Under The Uniform Distribution With Linear Regression Data  (His ABD exam)|
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<WRAP centeralign>**Abstract**</WRAP>
In research and statistics projects, if we know the form of the
regression, parametric inferences often perform better than semiparametric
inferences and nonparametric inferences. This talk focus on the maximum
likelihood estimator (MLE) under the uniform distribution with linear
regression data. We first introduce and discuss the assumptions and the
conclusions in Robbins, H. and Zhang, C.-H.'s paper. Then we develop
the closed form algorithm to find the MLE under the multiple linear
regression model. Some results on this subject with the simple linear
regression and non-random covariate are introduced and compared.
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