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Statistical Consulting



Terpstra Dr. Jeff Terpstra
Associate Professor
201H Waldron Hall
Phone: 701.231.8188
email jeff terpstra
Education:
Ph.D. (1997)
Western Michigan University

Specializing in:
  • Time Series
  • Robust Statistics
  • Nonparametrics
 
Courses Taught:

STAT 330: Introductory Statistics
STAT 330: Introductory Statistics - WEB Based
STAT 331: Regression Analysis
STAT 367: Probability
STAT 368: Statistics
STAT 4/662: Intro/Experimental Design
STAT 4/663: Nonparametric Statistics
STAT 476: Actuary Exam Study II

STAT 4/767: Prob. & Math/Stat I
STAT 4/768: Prob. & Math/Stat II
STAT 750: Time Series
STAT 761: Advanced Regression
STAT 764: Multivariate Methods
STAT 770: Survival Analysis
STAT 786: Advanced Inference
STAT 796: ST/Nonparametric Theory
STAT 796: ST/Computational Statistics

 
Selected Publications:
  1. Terpstra, J.T., McKean, J.W., and Naranjo, J.D.  (2000).  Highly Efficient Weighted Wilcoxon Estimates for Autoregression .  Statistics , 35, 45-80.
  2. Terpstra, J.T. and Rao, M.B. (2001).  Generalized Rank Estimates for an Autoregressive Time Series: A U-Statistic Approach .  Statistical Inference for Stochastic Processes , 4, 155-179.
  3. Terpstra, J.T., McKean, J.W., and Naranjo, J.D.  (2001).  Weighted Wilcoxon Estimates for Autoregression .  Australian and New Zealand Journal of Statistics , 43(4), 399-419.
  4. Terpstra, J.T.  (2002).  Generalized Signed-Rank Estimators for Autoregression Parameters.  Communications in Statistics - Theory and Methods , 31(3), 367-395.
  5. Terpstra, J.T., McKean, J.W., and Anderson, K.  Studentized Autoregressive Time Series Residuals .  Computational Statistics , 18(1), 123-141.
  6. Terpstra, J.T. and Magel, R.  (2003).  A New Nonparametric Test for the Ordered Alternative Problem .  Journal of Nonparametric Statistics , 15(3), 289-301.
  7. Terpstra, J.T.  (2004).  On Estimating a Population Proportion via Ranked Set Sampling , Biometrical Journal , 46(2), 264-272.

 

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NDSU, Dept. of Statistics
P.O. Box 5575, Waldron 201
Fargo, ND 58105-5575
Phone: 1.701.231.7532
email statistics department