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DTSTART:20201101T020000
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DTSTART:20210314T020000
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UID:calendar.404776.field_event_date.0@www.wright.edu
DTSTAMP:20260219T201555Z
CREATED:20201030T190305Z
DESCRIPTION:Meet-n-Greet: 2:30 p.m.\; Talk: 3:00 p.m.Speaker: Dr. Tessa Che
 n\, Department of Mathematics\, University of DaytonTitle: A New Computati
 onal Approach for Estimation of the D-Gini Index Based on Grouped DataHost
 : Dr. Yang LiuABSTRACT:Many government agencies still rely on the grouped 
 data as the main source of information for calculation of the Gini index. 
 Previous research showed that the Gini index based on the grouped data suf
 fers the first and second-order correction bias compared to the Gini index
  computed based on the individual data. Since the accuracy of the estimate
 d correction bias is subject to many underlying assumptions\, we propose a
  new method and name it D-Gini\, which reduces the bias in Gini coefficien
 t based on grouped data. We investigate the performance of the D-Gini meth
 od on an open-ended tail interval of the income distribution. The results 
 of the simulation study showed that our method is very effective in minimi
 zing the first and second order-bias in the Gini index and outperforms oth
 er methods previously used for the bias-correction of the Gini index based
  on grouped data. Three data sets are used to illustrate the application o
 f this method.SPEAKER BIO:Dr. Tessa Chen is currently an assistant profess
 or in the Department of Mathematics at the University of Dayton and the se
 cretary for Statistical Programmers and Analysts Section in American Stati
 stical Association. She received her Ph.D. in Statistics from Bowling Gree
 n State University in 2015 and spent two years as a visiting assistant pro
 fessor in the Farmer School of Business at Miami University\, Ohio prior t
 o teaching at the University of Dayton. Her research interest focuses on a
 pplied machine learning\, high performance computing\, statistical modelin
 g\, and survival analysis.Event Webpage: https://wright.webex.com/wright/j
 .php?MTID=m151ae530d62e83a8a43ac4e199ce5463
DTSTART;TZID=America/New_York:20201113T143000
DTEND;TZID=America/New_York:20201113T170000
LAST-MODIFIED:20201102T200524Z
SUMMARY:Mathematics and Statistics Colloquium
URL;TYPE=URI:/events/mathematics-statistics-colloquiu
 m-24
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