Committee on Applied and Theoretical Statistics
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Featured books
Representative editions for works actually authored by this person.
- Image source: Open LibraryET
Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
cover - Image source: Open LibraryAB
Applying Big Data to Address the Social Determinants of Health in Oncology
cover - Image source: Open LibraryLD
Life-Cycle Decisions for Biomedical Data
cover - Image source: Open LibrarySD
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
cover - Image source: Open LibraryRM
Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment
cover - Image source: Open LibraryMD
Massive Data Sets
cover - Image source: Open LibraryMI
Modern Interdisciplinary University Statistics Education
cover - ARAutomated Research Workflows fo...Committee on Applied and Theoretical Statistics
Automated Research Workflows for Accelerated Discovery
no cover - EUEnhancing Urban Sustainability...Committee on Applied and Theoretical Statistics
Enhancing Urban Sustainability with Data, Modeling, and Simulation
no cover - DSData Science for UndergraduatesCommittee on Applied and Theoretical Statistics
Data Science for Undergraduates
no cover - ETEnvisioning the Data Science Di...Committee on Applied and Theoretical Statistics
Envisioning the Data Science Discipline : The Undergraduate Perspective
no cover - RTRefining the Concept of Scienti...Committee on Applied and Theoretical Statistics
Refining the Concept of Scientific Inference When Working with Big Data
no cover - SCStatistical Challenges in Asses...Committee on Applied and Theoretical Statistics
Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results
no cover - ROReview of Proposals for Researc...Committee on Applied and Theoretical Statistics
Review of Proposals for Research on Statistical Methodologies for Assessing Variables in Eyewitness Performance
no cover - TSTraining Students to Extract Va...Committee on Applied and Theoretical Statistics
Training Students to Extract Value from Big Data
no cover - FIFrontiers in Massive Data AnalysisCommittee on Applied and Theoretical Statistics
Frontiers in Massive Data Analysis
no cover - STSteps Toward Large-Scale Data I...Committee on Applied and Theoretical Statistics
Steps Toward Large-Scale Data Integration in the Sciences
no cover - UMUncertainty Management in Remot...Committee on Applied and Theoretical Statistics
Uncertainty Management in Remote Sensing of Climate Data
no cover - SFStrengthening Forensic Science...Committee on Applied and Theoretical Statistics
Strengthening Forensic Science in the United States
no cover - SAStatistical Analysis of Massive...Committee on Applied and Theoretical Statistics
Statistical Analysis of Massive Data Streams
no cover - IIInnovations in Software Enginee...Committee on Applied and Theoretical Statistics
Innovations in Software Engineering for Defense Systems
no cover - MDMassive Data SetsCommittee on Applied and Theoretical Statistics
Massive Data Sets
no cover - DADiscriminant Analysis and Clust...Committee on Applied and Theoretical Statistics
Discriminant Analysis and Clustering
no cover
Works in catalog
Quick navigation into the work-level grouping pages behind the featured books.
- Open Work
Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
- Open Work
Applying Big Data to Address the Social Determinants of Health in Oncology
- Open Work
Life-Cycle Decisions for Biomedical Data
- Open Work
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
- Open Work
Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment
- Open Work
Massive Data Sets
- Open Work
Modern Interdisciplinary University Statistics Education
- Open Work
Automated Research Workflows for Accelerated Discovery
- Open Work
Enhancing Urban Sustainability with Data, Modeling, and Simulation
- Open Work
Data Science for Undergraduates
- Open Work
Envisioning the Data Science Discipline : The Undergraduate Perspective
- Open Work
Refining the Concept of Scientific Inference When Working with Big Data
- Open Work
Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results
- Open Work
Review of Proposals for Research on Statistical Methodologies for Assessing Variables in Eyewitness Performance
- Open Work
Training Students to Extract Value from Big Data
- Open Work
Frontiers in Massive Data Analysis
- Open Work
Steps Toward Large-Scale Data Integration in the Sciences
- Open Work
Uncertainty Management in Remote Sensing of Climate Data
- Open Work
Strengthening Forensic Science in the United States
- Open Work
Statistical Analysis of Massive Data Streams
- Open Work
Innovations in Software Engineering for Defense Systems
- Open Work
Massive Data Sets
- Open Work
Discriminant Analysis and Clustering