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X-WR-CALNAME;VALUE=TEXT:ÌÇÐÄÔ­´´
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DTSTART:20221106T020000
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BEGIN:VEVENT
UID:calendar.461761.field_event_date.0@www.wright.edu
DTSTAMP:20260219T192139Z
CREATED:20221010T154633Z
DESCRIPTION:TITLE: On a General Construction of Optimal Exact Confidence In
 tervalsSPEAKER: Dr. Weizhen Wang\, ÌÇÐÄÔ­´´ABSTRACT: A gene
 ral method\, named the h-function method\, is introduced to unify the cons
 tructions of level-α exact test and 1 − α exact confidence interval. Using
  this method\, any given confidence interval can be improved as follows: (
 i) an approximate interval\, including a point estimator\, is modified to 
 an exact interval\; (ii) an exact interval is refined to be an interval th
 at is a subset of the previous one. Some real datasets\, including Johnson
  & Johnson’s Janssen vaccine (2021)\, are used to illustrate the method. S
 tudents with some background in STT 3610/4620 should be able to understand
  the topics presented in this talk.BIO OF SPEAKER: Weizhen Wang received h
 is B.S. and M.S. at Peking University in 1987 and 1990\, respectively\, an
 d completed his Ph.D. in Statistics at Cornell University in 1995. After o
 ne-year visit at Purdue University\, he joined ÌÇÐÄÔ­´´\, a
 nd has been a Professor of Statistics since 2007. His research includes bi
 oequivalence\, exact parametric and nonparametric inferences\, saturated a
 nd adaptive designs\, categorical data analysis\, foundation of statistics
 \, statistical computation\, and clinical trial. His current primary inter
 est is exact statistical inference and the implementation in R.
DTSTART;TZID=America/New_York:20221014T150000
DTEND;TZID=America/New_York:20221014T160000
LAST-MODIFIED:20221010T190615Z
LOCATION:MM 271
SUMMARY:Colloquium - Dept of Mathematics and Statistics
URL;TYPE=URI:/events/colloquium-dept-mathematics-stat
 istics-0
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