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Akim Adekpedjou

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Akim Adekpedjou

Professor of Statistics

20072025

Research activity per year

Personal profile

About

Dr. Akim Adekpedjou received his Ph.D. in Statistics from University of South Carolina in 2007. He then joined the faculty at Missouri University of Science and Technology (Missouri S&T) and was promoted to the rank of Associate Professor of Statistics with Tenure in summer 2013. Akim’s research interests include survival analysis, recurrent events, reliability theory, complex survey data, multiple hypotheses testing, actuarial science and estimation with data missing randomly or not. Dr. Adekpedjou is in charge of the Actuarial Science program at Missouri S&T. His honors include two campus-wide outstanding teaching awards at Missouri S&T  in 2011 and 2012, and was also awarded the outstanding graduate student researcher award in 2006 from the Department of Statistics at University of South Carolina. Dr. Akim has been Associate Editor of South African Journal of Statistic.

Contact Information

214 Rolla Building
Missouri University of Science and Technology
Rolla, MO  65409-0020

(573) 341-4649
Fax:(573) 341-4741

Related documents

Education/Academic qualification

Ph.D. in Statistics, University of South Carolina

… → 2007

Master in Financial Mathematics, The University Of Michigan

… → 2002

Master in Applied Statistics, The University Of Michigan

… → 2001

Master in Applied Mathematics, University of Dakar

… → 1998

Bachelor in Pure Mathematics, University of Niamey

… → 1996

External positions

Visiting Associate Professor of Statistics, Institute of Stochastic and Institute of Financial Mathematics (on sabbatical leave), University of Ulm

Sep 1 2014 → Jul 1 2015

Research Interests

  • Recurrent Events, Spatial Recurrent Events, Reliability theory
  • Parametric and Nonparametric Methods in Survival Analysis
  • Applied Stochastic Processes, Actuarial Science
  • Multiple Hypothesis Testing
  • Complex Survey Data
  • Rank Based Inference with Nonignorable Responses

Disciplines

  • Statistics and Probability

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