Office Hours: MW 9:30 - 10:20, 11:30 – 12:20, or by an appointment on TR


Yusuf Kenan Bilgiç

Assistant Professor

of Statistics

South Hall 324A
1 College Circle
Geneseo, NY 14454

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


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


  • 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 of hierarchical designs, specifically nested designs. 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. 2013. Iterated Reweighted Rank-Based Estimates for GEE Models. Submitted.
  • 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,
  • 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. Manuscript to be submitted.
My Classes

Math 262:
R/Applied Statistics

    An introduction to statistics with emphasis on applications. Topics include the description of data with numerical summaries and graphs, the production of data through sampling and experimental design, techniques of making inferences from data such as confidence intervals and hypothesis tests for both categorical and quantitative data. The course includes an introduction to computer analysis of data with a statistical computing package. (Those who have completed MATH 360 may not enroll in this course for credit, and no student may reveive credit for more than one 200-level statisticcs course, including credit for more than one of the following courses: BIOL 250, ECON 205, GEOG 278, MATH 242, MATH 262, PLSC 251, PSYC 250, and SOCL 211.) Offered every semester

Math 360:

    Topics include probability definitions and theorems; discrete and continuous random variables including the binomial, hypergeometric, Poisson and normal random variables. Both the theory and applications 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

Math 380:
Topics in Math:

    An exploration of an advanced topic that extends the breadth and/or depth of the undergraduate mathematical experience. May be taken twice under different subtitles. Prerequisites: Completion of five courses toward the major in Mathematics or permission of instructor. Not offered on a regular basis

Math 399:
Directed Study

    A course of study in which students work individually under the supervision of a faculty member. Prerequisites: Permission of instructor. (l to 3 semester hours.) Offered by individual arrangement