Search Results - "Hill, Raymond R"

Validating Multi-Resolution Aircraft Models with Probabilities of Agreement.

Authors: Ledwith, Matthew C. Hill, Raymond R. Champagne, Lance E. et al.

Source: Military Operations Research. 2024, Vol. 29 Issue 2, p37-51. 15p.

An Air Force Pilot Training Recommendation System Using Advanced Analytical Methods.

Authors: Forrest, Nicholas C. Hill, Raymond R. Jenkins, Phillip R.

Source: INFORMS Journal on Applied Analytics. Mar/Apr2022, Vol. 52 Issue 2, p198-209. 12p.

Wavelet analysis of variance box plot.

Authors: Williams, Jeffrey Hill, Raymond R. Pignatiello Jr., Joseph J. et al.

Source: Journal of Applied Statistics. Nov2022, Vol. 49 Issue 14, p3536-3563. 28p. 1 Diagram, 4 Charts, 16 Graphs, 2 Maps.

Applying statistical engineering to the development of a ballistic impact flash model.

Authors: Hill, Raymond R. Ahner, Darryl K. Morrill, Dana F. et al.

Source: Quality Engineering. Apr-Jun2017, Vol. 29 Issue 2, p181-189. 9p.

Subjects: Impact (Mechanics), Vulnerability model of recovery, Combat survivability (Military engineering), Ballistic missiles, Military engineering, Mathematical models

Modeling Training Effects Using a Human Performance Taxonomy.

Authors: Meador, Douglas P. Hill, Raymond R.

Source: Human Factors; August 2011, Vol. 53 Issue 4, p7-1-7-12, 12p

The Effects of Coefficient Correlation Structure in Two-Dimensional Knapsack Problems on Solution Procedure Performance.

Authors: Hill, Raymond R. Reilly, Charles H.

Source: Management Science (INFORMS). Feb2000, Vol. 46 Issue 2, p302. 16p.

Big data in humanitarian supply chain management: a review and further research directions.

Authors: Gupta, Shivam Altay, Nezih Luo, Zongwei

Source: Annals of Operations Research; Dec2019, Vol. 283 Issue 1/2, p1153-1173, 21p

Point-wise model validation over experimental regions using regression confidence and tolerance intervals with Bayesian relaxations.

Authors: Storm, Scott M Hill, Raymond R Pignatiello, Joseph J et al.

Source: Simulation; Jan2020, Vol. 96 Issue 1, p75-87, 13p

Second-order extensions to nearly orthogonal-and-balanced (NOAB) mixed-factor experimental designs.

Authors: Little, Zachary C. Weir, Jeffery D. Hill, Raymond R. et al.

Source: Journal of Simulation; Sep2019, Vol. 13 Issue 3, p226-237, 12p

Using Neural Networks and Logistic Regression to Model Small Unmanned Aerial System Accident Results for Risk Mitigation.

Authors: Wolf, Sean E. Hill, Raymond R. Pignatiello, Joseph J.

Source: Military Operations Research. 2014, Vol. 19 Issue 3, p27-39. 13p.

Applying instance space analysis for metaheuristic selection to the 0–1 multidemand multidimensional knapsack problem.

Authors: Scherer, Matthew E. Hill, Raymond R. Lunday, Brian J. et al.

Source: Computers & Operations Research; Oct2024, Vol. 170, pN.PAG-N.PAG, 1p

Case Studies: Definitive Screening Applied to a Simulation Study of the F100-229 Engine Repair Network.

Authors: Hill, Raymond R. Gutman, Alex J. Moulder, Roger D. et al.

Source: Quality Engineering. Oct-Dec2015, Vol. 27 Issue 4, p424-436. 13p.

Subjects: United States. Air Force, Fighter planes, Military airplanes, Parsimonious models, Airplane motors

A multi-objective, bilevel sensor relocation problem for border security.

Authors: Lessin, Aaron M. Lunday, Brian J. Hill, Raymond R.

Source: IISE Transactions. Oct2019, Vol. 51 Issue 10, p1091-1109. 19p. 4 Charts, 10 Graphs.

Data farming - alive and well.

Authors: Hill, Raymond R.

Source: Industrial Engineer: IE. May2015, Vol. 47 Issue 5, p10-10. 1/2p.

Verifying new instances of the multidemand multidimensional knapsack problem with instance space analysis.

Authors: Scherer, Matthew E. Hill, Raymond R. Lunday, Brian J. et al.

Source: Computers & Operations Research; Feb2024, Vol. 162, pN.PAG-N.PAG, 1p

Value-Focused Thinking and the Challenges of the Long War.

Authors: Parnell, Gregory S. Hill, Raymond R.

Source: Military Operations Research. 2008, Vol. 13 Issue 2, p5-6. 2p.

Process Simulation in Excel for a Quantitative Management Course.

Authors: Hill, Raymond R.¹ (AUTHOR) ray.hill@afit.edu

Source: INFORMS Transactions on Education. May2002, Vol. 2 Issue 3, p75-84. 10p.

Index to Human Factors — Volume 53, 2011.

Source: Human Factors; December 2011, Vol. 53 Issue 6, p786-791, 6p

Maximum likelihood estimation for the poly-Weibull distribution.

Authors: Freels, Jason K. Timme, Daniel A. Pignatiello, Joseph J. et al.

Source: Quality Engineering. 2019, Vol. 31 Issue 4, p545-552. 8p.

Subjects: Weibull distribution, Generalized method of moments, Maximum likelihood statistics, Failure mode & effects analysis

Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention.

Authors: Hoecherl, Joseph C. Robbins, Matthew J. Borghetti, Brett J. et al.

Source: Computers & Industrial Engineering; Sep2022, Vol. 171, pN.PAG-N.PAG, 1p