Ph.D. Statistics, University of New Mexico, 2010
- Dissertation: Generalizations of the Statistical Flowgraph Model Framework
- Advisor: Aparna V. Huzurbazar
M.S. Statistics, University of New Mexico, 2009
M.A. Mathematics, University of Nebraska at Omaha, 2005
B.S. Mathematics, Magna Cum Laude, Southern Utah University, 1996
Applied Stochastic Models
Statistical Flowgraph Models
R. L. Warr and A. V. Huzurbazar, Expanding the Statistical Flowgraph Model Framework to use any Transition Distribution. Journal of Statistical Theory and Practice, 4, No. 4, 529–539 (2010).
Submitted and Accepted:
D. H. Collins, J. K. Freels, A. V. Huzurbazar, R. L. Warr, and B. P. Weaver, Accelerated Test Methods for Reliability Prediction, Journal of Quality Technology, accepted for publication.
D. H. Collins, R. L. Warr and, A. V. Huzurbazar, An Introduction to Statistical Flowgraph Models for Engineering Systems, Journal of Risk and Reliability, accepted for publication.
R. L. Warr, Numerical Approximation of Probability Mass Functions via the Inverse Discrete Fourier Transform, Methodology and Computing in Applied Probability, under revision.
M.S. Hamada and R. L. Warr, Analyzing Deficient Response Summaries From Designed Experiments, Quality Engineering, under review.
R. L. Warr and D. H. Collins. 2012. Bayesian Nonparametric Models for Combing Heterogeneous Reliability Data. In JSM Proceedings, Physical and Engineering Sciences Section. Alexandria, VA: American Statistical Association. 2220-2232.
D. H. Collins, J. K. Freels, A. V. Huzurbazar, R. L. Warr, and B. P. Weaver, Accelerated Test Methods for Reliability Prediction. Los Alamos National Lab TSC Directorate Science Highlights, 134–135, LA-UR-12-20429 (2012).
R. L. Warr and D. H. Collins, A Comprehensive Method for Solving Finite-State Semi-Markov Processes. Los Alamos National Lab Technical Report LA-UR-11-01596 (2011).
R. R. Picard, B. J. Williams, L. P. Swiler, A. Urbina and R. L. Warr, Multiple Model Inference with Applications to Uncertainty Quantification for Complex Codes. Los Alamos National Lab Technical Report LA-UR-10-06382 (2010).