Office Hours: TR 11-12, or stop by anytime.

Mostly I am in my office from 11 to 1.

 
 
Home › Mathematics › Yusuf K. Bilgic

Yusuf Bilgic

Visiting Assistant Professor

of Mathematics

 South Hall 324A
1 College Circle
Geneseo, NY 14454
245-54-84
bilgic@geneseo.edu

Yusuf Bilgic 2

Yusuf Bilgic has been a member of the Geneseo faculty since 2012.
Faculty Information

Education

  • Ph.D. in Statistics, Western Michigan University, 2012
  • M.A., Western Michigan University, 2008
  • B.A., Marmara University, 1998

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 methods: rank-based theory, rank-based statistical modeling of hierarchical designs, specifically nested designs. Also, I am seeking any collaboration in projects and grants, and in applied data analysis in social, behavioral and educational research as a statistician.

Publications

  • Bilgic Y. K., Susmann H, 2013. rlme: R Package for Random Effects Nested Models. Submitted to The R Journal
  • 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.
  • J. D. Davis, D. O. Smith, A. R. Roy, and Y. K. Bilgic. Reasoning-and-Proving in Algebra: The Case of Two Reform-Oriented U.S. Textbooks. IJER. 2012.
  • 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. Journal of Counseling and Development. October, 2012.
  • Bilgic Y. K. and McKean J. W. Generalized Rank-Based Method for Mixed Effects Models in Three-Level Nested Designs. To be submitted.
My Classes

Math 222:
Calculus II

    Derivatives and antiderivatives of the transcendental functions, methods of integration, applications of definite integrals, sequences, improper integrals, and series. Prerequisites: MATH 221. Offered every semester

Math 360:
Probability & Statistics I

    Topics include probability definitions and theorems; discrete and continuous random variables including the binomial, hypergeometric, Poisson and normal random variables; and the applications of probability to such statistical topics as sampling distributions, point estimation, confidence intervals, and/or tests of hypothesis. Both the theory and applications of probability and statistics will be included. Prerequisites: MATH 223 or permission of the instructor.

Math 242:
R/Elem of Probability & Stat

    Basic concepts of probability theory and statistical inference. A knowledge of calculus is not required. (Those who have completed MATH 360 may not enroll in this course for credit, and no student may receive credit for more than one 200-level statistics course, including credit for more than one of the following courses: ECON 202, MATH 242, PLSC 251, PSYC 250, and SOCL 211.) Prerequisites: Three years of high school mathematics including intermediate algebra. Offered every semester

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