Committee on Applied and Theoretical Statistics
Books
- Envisioning the Data Science Discipline : The Undergraduate Perspective
- Modern Interdisciplinary University Statistics Education
- Statistical Analysis of Massive Data Streams
- Life-Cycle Decisions for Biomedical Data
- Enhancing Urban Sustainability with Data, Modeling, and Simulation
- Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results
- Steps Toward Large-Scale Data Integration in the Sciences
- Automated Research Workflows for Accelerated Discovery
- Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment
- Review of Proposals for Research on Statistical Methodologies for Assessing Variables in Eyewitness Performance
- Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
- Data Science for Undergraduates
- Training Students to Extract Value from Big Data
- Discriminant Analysis and Clustering
- Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
- Frontiers in Massive Data Analysis
- Massive Data Sets
- Innovations in Software Engineering for Defense Systems
- Applying Big Data to Address the Social Determinants of Health in Oncology
- Refining the Concept of Scientific Inference When Working with Big Data
- Strengthening Forensic Science in the United States
Author data: Open Library