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Best Practice Files


# Document title
Bayesian Capability
1 Bayesian Model Checking
2 Bayesian Methods in Test and Evaluation: A Decision Maker's Perspective
3 Bayesian Reliability for Complex Systems
4 Practical Bayesian Analysis for Failure Time Data
Data Analysis & Statistics
1 Statistical Hypothesis Testing
2 Interpreting Confidence Intervals
3 Using Statistical Intervals to Assess System Performance
4 Confidence Intervals for the Median and Other Percentiles
5 Model Building Process Part 1: Checking Model Assumptions Version 1.1
6 MATLAB and R Integration with JMP
7 Understanding Analysis of Variance
8 Model Building Process Part 2: Factor Assumptions
9 Statistics Reference Series Part 1: Descriptive Statistics
10 Sampling from Arbitrary Distributions using the Rejection Method
11 Using Regression Trees
12 Statistics Reference Series Part 2: Probability
13 Model Building Process Part 3: Model Goodness Metrics
14 An Introduction to Mixture Designs
15 Equivalence Testing
16 Tolerance Intervals Demystified
17 Nonparametric Tolerance Intervals Best Practice
18 Data-Driven Model Development
19 Improving the Interpretability of Bayesian Priors
20 Scientific Test and Analysis Techniques in Technology Readiness Assessment
21 Uncertainty Quantification: An Overview
22 Improving the Interpretability of Bayesian Priors
Emerging Technologies
1 Best Practice for Effective Requirements and Measures for Autonomous Defense Systems
General Topics
1 Statistics Reference Document Series Part 3: Inferential Statistics
Homeland Security Community of Best Practices (HS COBP)
1 Benefits, Best Practices, & Risks of Using Cloud Technologies
2 Designing a Test for Prediction
3 Logistic and Probit Regression Computational Algorithms
4 Recommended Confidence Intervals for a Binomial Proportion
Modeling & Simulation
1 STAT COE MRL White Paper: A Conceptual Framework for the Establishment of Model Readiness Levels
2 Model Selection and Use of Empiricism in Digital Engineering
3 Constructing a Metric for Fidelity in Model Validation
4 Elements of a Mathematical Framework for Model Validation Levels
5 Model Based System Engineering for Developmental System for Verification and Validation
6 Constructing a Metric for Fidelity in Model Validation
Reliability
1 Practical Bayesian Analysis for Failure Time Data
2 Reliability Test Planning for Mean Time Between Failures
3 Reliability Test Plans for Binary Responses: Excel Tool Guide
4 Impact of Test Time on Estimation of Mean Time Between Failure
5 Reliability Test Planning Utility Guide
6 Bayesian Reliability for Complex Systems
7 Bayesian Reliability for Complex Systems
8 Availability Confidence Intervals from Bootstrap Sampling
Software Testing
1 Combinatorial Test Designs
2 STAT for Software Testing
3 Automated Software Testing Practices and Pitfalls
4 Software Reliability Fundamentals Best Practice
5 Software Reliability Fundamentals Best Practice
6 Automated Software Test Implementation Guide for Managers and Practitioners
7 Applying STAT within the DevSecOps Lifecycle
T&E Strategy
1 Understanding Requirements for Effective Test Planning
2 Calculating a Consensus of Opinion
3 Assessing Rigor in Test Plans
4 Testing via Sequential Experiments
5 Critical STAT Questions DOD Leadership Should Ask
6 Workshop Report:  2015 Test and Evaluation of Autonomous Systems (DASD(DT&E))
7 Quantifying STAT Impact in DoD Test Design
8 Specifying STAT Requirements In Defense Contracts
9 Implementing Rigor in Test Plans
10 Applying STAT to Defense Business Systems
11 Applying STAT to Defense Business Systems
12 Evaluating Delivered Test Plans For STAT Content
13 Evaluating Delivered Test Plans For STAT Content
14 Workshop Report:  2019 Advancements in Test and Evaluation of Autonomous Systems
15 Bayesian Methods in Test and Evaluation: A Decision Maker's Perspective
16 Survey of AI-Enabled Tools for Application in Test & Evaluation
17 Effective Requirements and Measure for Autonomous Defense Systems
Test and Evaluation of Autonomous Systems
1 Workshop Report:  2022 Advancements in Test and Evaluation of Autonomous Systems
Test Design
1 Using OC Curves to Balance Cost and Risk
2 Controlling Conditions is Key for Meaningful Operational Test Results
3 STAT Planning Tool Guide
4 Test Design Comparison and Selection
5 Quantifying Test Risk Using Design of Experiments
6 Categorical Data in a Designed Experiment Part 1: Avoiding Categorical Data
7 Categorical Data in a Designed Experiment Part 2: Sizing a design with a Binary Response
8 Categorical Data in a Designed Experiment Part 3: Logistic Regression
9 Test Facility DOE Survey
10 Developing Effective Test Objectives
11 Binary Response and Single Stress Factor Test Methods
12 Study Guide to Design of Experiments Learning Series by J. Stuart Hunter, Lessons 1-9
13 Survey & Questionnaire Design
14 Study Guide to Design of Experiments Learning Series by J. Stuart Hunter, Lessons 10-15
15 Iterative Developmental Testing Considerations
16 Computer Experiments: Space Filling Design and Gaussian Process Modeling
17 Classical Designs: Fractional Factorial Designs
18 Classical Designs: Full Factorial Designs
19 Understanding the Signal to Noise Ratio in Design of Experiments
20 Randomization: A Core Principle of DOE
21 Categorical Data in a Designed Experiment Part 4: Estimating Power of Test Designs for a Binary Response
22 Classical Designs: Full Factorial Designs
23 Survey & Questionnaire Design
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