Search Results - "Warr, Richard L."

A Two-Part Model of the Individual Costs of Chronic Kidney Disease by Hartman, Brian, Larson, Courtney, Kunkel, Christopher, Wight, Cason, Warr, Richard L.

“…Chronic kidney disease (CKD) affects many lives and has a large impact on health systems around the world. To better understand and predict costs for insurance…”
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Bootstrapping through discrete convolutional methods by Clark, Jared M., Warr, Richard L.

“…Bootstrapping was designed to randomly resample data from a fixed sample using Monte Carlo techniques. However, the original sample itself defines a discrete…”
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A Bayesian nonparametric system reliability model which integrates multiple sources of lifetime information by Warr, Richard L., Meyer, Jeremy M., Curtis, Jackson T.

“…We present a Bayesian nonparametric system reliability model which scales well and provides a great deal of flexibility in modeling. The Bayesian approach…”
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A fiducial‐based confidence interval for the linear combination of multinomial probabilities by Batterton, Katherine A., Schubert, Christine M., Warr, Richard L.

“…Across a broad set of applications, system outcomes may be summarized as probabilities in confusion or contingency tables. In settings with more than two…”
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Failure time distributions for complex equipment by Collins, David H., Warr, Richard L.

“…The exponential distribution is inadequate as a failure time model for most components; however, under certain conditions (in particular, that component…”
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Highly accelerated life testing (HALT): A review from a statistical perspective by Collins, David H., Huzurbazar, Aparna V., Warr, Richard L.

“…Despite its use in one form or another for at least four decades, HALT and related techniques [e.g., highly accelerated‐stress screening (HASS) and stress…”
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Error Bounds for Cumulative Distribution Functions of Convolutions via the Discrete Fourier Transform by Warr, Richard L., Wight, Cason J.

“…In statistical theory, convolutions are often avoided in favor of asymptotic approximation or simulation. Much of this is due to the fact that convolution is a…”
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Justification for considering zero-inflated models in crash frequency analysis by Pew, Timo, Warr, Richard L., Schultz, Grant G., Heaton, Matthew

“…•Provide justification for zero inflated models when no perfect state is assumed.•Compare the performance of three models on Utah crash data from 2014 to…”
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Bayesian nonparametric estimation of first passage distributions in semi‐Markov processes by Warr, Richard L., Woodfield, Travis B.

“…Bayesian nonparametric (BNP) models provide a flexible tool in modeling many processes. One area that has not yet utilized BNP estimation is semi‐Markov…”
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Numerical Approximation of Probability Mass Functions via the Inverse Discrete Fourier Transform by Warr, Richard L.

“…First passage distributions of semi-Markov processes are of interest in fields such as reliability, survival analysis, and many others. Finding or computing…”
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Maximum likelihood estimation for the poly-Weibull distribution by Freels, Jason K., Timme, Daniel A., Pignatiello, Joseph J., Warr, Richard L., Hill, Raymond R.

“…The Weibull distribution has long been a popular choice for modeling lifetime data of various mechanical and biological phenomena when the associated hazard…”
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Should the Interquartile Range Divided by the Standard Deviation be Used to Assess Normality? by Warr, Richard L., Erich, Roger A.

“…We discourage the use of a diagnostic for normality: the interquartile range divided by the standard deviation. This statistic has been suggested in several…”
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Bridging the Gap between Quantitative and Qualitative Accelerated Life Tests by Freels, Jason K., Pignatiello, Joseph J., Warr, Richard L., Hill, Raymond R.

“…Test planners have long sought the ability to incorporate the results of highly accelerated life testing (HALT) into an early estimate of system reliability…”
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Visualizing discrepancies from nonlinear models and computer experiments by Weaver, Brian P., Warr, Richard L., Anderson-Cook, Christine M., Higdon, David M.

“…Plutonium‐238 is an important specialized power source that radiates heat, which can be converted into electricity. This case study models the thermal output…”
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Modeling Crash Risk on Roadway Networks using Bayesian Regression Trees by Dahl, Benjamin K., Heaton, Matthew J., Warr, Richard L., Fisher, Jared D., Schultz, Grant G.

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Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data by Heaton, Matthew J., Dahl, Benjamin K., Dayley, Caleb, Warr, Richard L., White, Philip

“…Two common approaches to analyze point pattern (location-only) data are mixture models and log-Gaussian Cox processes. The former provides a flexible model for…”
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Using complementary intersection and segment analyses to identify crash hot spots by Schultz, Grant G., Lunt, Camille C., Pew, Timo, Warr, Richard L.

“…•Separating intersection and segment hot spots increases accuracy for safety analysis.•Removing intersection bias identifies hot spots that may otherwise go…”
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Failure time distributions for complex equipment by Collins, David H., Warr, Richard L.

“…The exponential distribution is inadequate as a failure time model for most components; however, under certain conditions (in particular, that component…”
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The Attraction Indian Buffet Distribution by Warr, Richard L., Dahl, David B., Meyer, Jeremy M., Lui, Arthur

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The Attraction Indian Buffet Distribution by Warr, Richard L., Dahl, David B., Meyer, Jeremy M., Lui, Arthur Laureano

“…We propose the attraction Indian buffet distribution (AIBD), a distribution for binary feature matrices influenced by pairwise similarity information. Binary…”
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