Warr, Richard L.
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2

Integrating machine learning and Bayesian nonparametrics fo..:

Heaton, Matthew J. ; Dahl, Benjamin K. ; Dayley, Caleb..
Computational Statistics & Data Analysis.  191 (2024)  - p. 107875 , 2024
 
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4

Bootstrapping through discrete convolutional methods:

Clark, Jared M. ; Warr, Richard L.
Applied Stochastic Models in Business and Industry.  , 2023
 
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7

Justification for considering zero-inflated models in crash..:

Pew, Timo ; Warr, Richard L. ; Schultz, Grant G..
Transportation Research Interdisciplinary Perspectives.  8 (2020)  - p. 100249 , 2020
 
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9

Bayesian nonparametric estimation of first passage distribu..:

Warr, Richard L. ; Woodfield, Travis B.
Applied Stochastic Models in Business and Industry.  36 (2019)  2 - p. 237-250 , 2019
 
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10

Error Bounds for Cumulative Distribution Functions of Convo..:

Warr, Richard L. ; Wight, Cason J.
Methodology and Computing in Applied Probability.  22 (2019)  3 - p. 881-904 , 2019
 
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12

Failure time distributions for complex equipment:

Collins, David H. ; Warr, Richard L.
Quality and Reliability Engineering International.  35 (2018)  1 - p. 146-154 , 2018
 
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14

Visualizing discrepancies from nonlinear models and compute..:

Weaver, Brian P. ; Warr, Richard L. ; Anderson‐Cook, Christine M..
Statistical Analysis and Data Mining: The ASA Data Science Journal.  8 (2015)  5-6 - p. 274-286 , 2015
 
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15

Bridging the Gap between Quantitative and Qualitative Accel..:

Freels, Jason K. ; Pignatiello, Joseph J. ; Warr, Richard L..
Quality and Reliability Engineering International.  31 (2014)  5 - p. 789-800 , 2014
 
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