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Search results for "highly radioactive"

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Viewing 1 - 20 of 189 results by relevance
Consensus Study Report

Transparency in Statistical Information for the National Center for Science and Engineering Statistics and All Federal Statistical Agencies  (2022)

Proceedings

Rationalizing Rural Area Classifications for the Economic Research Service: A Workshop Summary  (2016)

Unknown Quantity: A Real and Imaginary History of Algebra  (2006)

Prime Obsession: Bernhard Riemann and the Greatest Unsolved Problem in Mathematics  (2003)

Mathematical Challenges from Theoretical/Computational Chemistry  (1995)

Renewing U.S. Mathematics: A Plan for the 1990s  (1990)

Spatial Statistics and Digital Image Analysis  (1991)

Consensus Study Report

Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification  (2012)

U.S. Research Institutes in the Mathematical Sciences: Assessment and Perspectives  (1999)

Proceedings

Advancing Concepts and Models for Measuring Innovation: Proceedings of a Workshop  (2017)

Probability and Algorithms  (1992)

Proceedings

Statistical Issues in Defense Analysis and Testing: Summary of a Workshop  (1994)

Proceedings

Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop  (2016)

Proceedings

Record Linkage Techniques -- 1997: Proceedings of an International Workshop and Exposition  (1999)

Consensus Study Report

Principles and Practices for a Federal Statistical Agency: Fourth Edition  (2009)

Consensus Study Report

Developing a 21st Century Global Library for Mathematics Research  (2014)

Consensus Study Report

Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy  (2017)

Proceedings

Principles and Practices for Federal Program Evaluation: Proceedings of a Workshop  (2017)

Consensus Study Report

Federal Statistics, Multiple Data Sources, and Privacy Protection: Next Steps  (2017)

Rapid Expert Consultation

Evaluating Data Types: A Guide for Decision Makers using Data to Understand the Extent and Spread of COVID-19  (2020)