Search Selected Systems and Analyses Center Publications

Here you can search a selected set of publicly available publications and research from IDA's Systems and Analyses Center. 

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Introduction to ciTools

August, 2017
ciTools, an R package for working with model uncertainty, gives users access to confidence and prediction intervals for the fitted values of (log) linear models, generalized linear models, and (log ) linear mixed models.
Thinking About Data for Operational Test and Evaluation

November, 2017
Statistical models provide an analytical framework that helps avoid error-prone heuristics and draw accurate conclusions from random data.
A Multi-Method Approach to Evaluating Human-System Interactions during Operational Testing

November, 2017
Although the quality of human system interactions is a key determinant of mission success for military systems, operational testers rarely approach the evaluation of human system interactions with the same rigor that they app....
Statistical Techniques for Modeling and Simulation Validation

September, 2016
In DoD test and evaluation, collecting sufficient data to evaluate system performance against operationally realistic threats is often not possible due to cost and resource restrictions, safety concerns, or lack of adequate o....
Foundations of Psychological Measurement

February, 2016
DoD engages in psychological measurement to place military personnel into specialties, evaluate their mental health, evaluate the quality of human systems interactions, and identify factors that affect crime rates on bases.
Users Are Part of the System: How to Account for Human Factors When Designing Operational Tests for Software Systems

July, 2017
This talk briefly discusses best practices and design options for including the user in the Design of Experiments and presents a real-world example.
Applications of Modern Statistical Techniques to Operational Testing

August, 2016
Conducting realistic tests with representative users in a full operational environment means designing efficient tests, extracting information of available test data, and making use of validated models and simulations.
Bayesian Reliability: Combining Information

July, 2016
One of the most powerful features of Bayesian analyses is the ability to combine multiple sources of information in a principled way to perform inference.
Introduction to Survey Design

June, 2016
The briefing was broken into three major sections: conceptualizing surveys, writing survey items, and formatting surveys.
Bayesian Analysis in R/STAN

July, 2016
Armor protection and projectile lethality tests often use sensitivity experiments to characterize a projectile's probability of penetrating the armor.

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