Office Hours: TR 10:00 - 11:00, 1:00 – 2:00, or by an appointment on W

https://go.geneseo.edu/bilgic

 
 

Yusuf Kenan Bilgiç

Assistant Professor

of Statistics

South Hall 324A
1 College Circle
Geneseo, NY 14454
245-5484
bilgic@geneseo.edu

Yusuf Bilgic 2

Yusuf K. Bilgiç has been a member of the Geneseo faculty since 2012.

Did you know UP-STAT 2015 Conference is at Geneseo on 4/10-11?

Faculty Information

Education

  • Ph.D. in Statistics, Western Michigan University, 2012
  • M.A., Western Michigan University, 2008

Employment

  • Research and Teaching Assistant, Western Michigan University, 2006-2012
  • Mathematics Teacher in Secondary Schools, 1998-2006

Research Interests

Modeling, estimation, prediction and testing in hierarchical designs using nonparametric and robust methods: rank-based theory, rank-based statistical modeling. Stat&Probability Education. I welcome any collaboration in projects and grants as a statistician or stat educator.

Publications and Professional Activities

  • Bilgic Y. K., Susmann H. 2013. rlme: R Package for Random Effects Nested Models. The R Journal Vol. 5/2, December.
  • Bilgic, Y. K. Rank-Based Estimation and Prediction for Mixed Effects Models in Nested Designs. Ph.D. Thesis. 2012. WMU.
  • Abebe A., McKean J. W., Kloke J. D., Bilgic Y. K. 2015. Iterated Reweighted Rank-Based Estimates for GEE Models. In progress.
  • Jon D. Davis, Dustin O. Smith, Abhik R. Roy, Yusuf K. Bilgic, Reasoning-and-proving in algebra: The case of two reform-oriented U.S. textbooks, International Journal of Educational Research, Available online 1 August 2013, ISSN 0883-0355, http://dx.doi.org/10.1016/j.ijer.2013.06.012.
  • C. Bradley, C. H. DeBose, J. T. Terpstra, and Y. K. Bilgic. Post Adoption Services Utilization among African American, Transracial and White American parents: Counseling and Legal implications. The Family Journal October 2012 vol. 20 no. 4 392-398.
  • Bilgic Y. K. and McKean J. W. Generalized Rank-Based Method for Mixed Effects Models in Three-Level Nested Designs. In progress.
Spring 2015 Classes

MATH 341:
Probability &AppliedStatistics

    Topics include probability definitions and theorems; discrete and continuous random variables including the binomial, geometric, Poisson, and normal random variables; and the applications of statistic
    al topics such as sampling distributions, estimation, confidence intervals, and tests of hypothesis. Both the theory and applications of probability will be included with applications of statistics. A student may not receive major credit for both MATH 341 and MATH 360. MATH 341 does NOT serve as a prerequisite for MATH 361. Prerequisite: MATH 223 or permission of instructor. Offered every spring
Read more.

MATH 360:
Probability

    Topics include probability definitions and theorems; discrete and continuous random variables including the binomial, hypergeometric, Poisson and normal random variables. Both the theory and applicat
    ions of probability will be included. A student may not receive credit for both MATH 341 and MATH 360. Prerequisites: MATH 223 or permission of the instructor. Offered every fall
Read more.