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Matthew R Avery
Matthew R Avery
Institute for Defense Analyses
Verified email at ida.org
Title
Cited by
Cited by
Year
ciTools: Confidence or prediction intervals, quantiles, and probabilities for statistical models
J Haman, M Avery
R package version 0.6 1, 2020
322020
Literature review for local polynomial regression
M Avery
Unpublished manuscript, 2013
312013
Translating textiles to tissue engineering: Creation and evaluation of microporous, biocompatible, degradable scaffolds using industry relevant manufacturing approaches and …
CM Haslauer, MR Avery, B Pourdeyhimi, EG Loboa
Journal of Biomedical Materials Research Part B: Applied Biomaterials 103 (5 …, 2015
152015
RKHS‐based functional nonparametric regression for sparse and irregular longitudinal data
M Avery, Y Wu, H Helen Zhang, J Zhang
Canadian Journal of Statistics 42 (2), 204-216, 2014
92014
Testing defense systems
LJ Freeman, T Johnson, M Avery, VB Lillard, J Clutter
Analytic methods in systems and software testing, 439-487, 2018
42018
Regularization for Continuously Observed Ordinal Response Variables with Piecewise‐constant Functional Covariates
M Avery, M Orndorff, T Robinson, L Freeman
Quality and Reliability Engineering International 32 (6), 2033-2042, 2016
22016
New Techniques for Functional Data Analysis: Model Selection, Classification, and Nonparametric Regression
MR Avery
North Carolina State University, 2012
22012
Determining how much testing is enough: An exploration of progress in the department of defense test and evaluation community
MR Avery, JR Simpson, HM Wojton
The ITEA Journal of Test and Evaluation 42 (1), 39-47, 2021
12021
Tackling Complex Problems: Analysis of the AN/TPQ-53 Counterfire Radar
MR Avery, MR Shaw
Alexandria, Va.: Institute for Defense Analyses, Fall, 2015
12015
Sample size study for logistic regression with multiple covariates: The effects of body image perception and self esteem on safe sex practices among black women in Wake County
M Avery
Small 1072 (968), 893, 2011
12011
How Big is Too Big?: Using SAL (Smallsat Affordability in LEO) to Evaluate the Small Satellite Tradespace
VA Lillard, MR Avery, AJ Slawik, GM Koretsky
Institute for Defense Analyses., 2022
2022
Regularization for Continuously Observed Ordinal Response Variables with Piecewise-Constant Functional Predictors
M Avery, L Freeman, T Robinson, M Orndorff
Institute for Defense Analyses., 2022
2022
First Step Into the Bootstrap World
M Avery
Institute for Defense Analyses, 2022
2022
Thinking About Data for Operational Test and Evaluation
D Thomas, M Avery
Institute for Defense Analyses., 2022
2022
Applications of Modern Statistical Techniques to Operational Testing
M Avery, L Freeman, T Johnson, VB Lillard
Institute for Defense Analyses., 2022
2022
Test Science Website Videos-Test Planning and Design
K Avery, C Fealing, R Medlin, R Haga, M Avery
2021
Visualizing Data: I don’t Remember That Memo, but I Do Remember that Graph
M Avery, A Flack, B Vickers
2020
" How Much Testing is Enough?" 25 Years Later
MR Avery, JR Simpson, ...
2019
The Purpose of Mixed-Effects Models in Test and Evaluation
JT Haman, MR Avery, H Wojton
2019
How Big is Too Big? Using SAL (Smallsat Affordability in LEO) to Evaluate the Small Satellite Tradespace
MR Avery, AJ Slawik, GM Koretsky
2019
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Articles 1–20