Classification of Instructional Programs 2020 - United States
27.0502 Mathematical Statistics and Probability
A program that focuses on the mathematical theory underlying statistical methods and their use. Includes instruction in probability theory parametric and non-parametric inference, sequential analysis, multivariate analysis, Bayesian analysis, experimental design, time series analysis, resampling, robust statistics, limit theory, infinite particle systems, stochastic processes, martingales, Markov processes, and Banach spaces.
Level 36 cross-system mappings
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- >27 MATHEMATICS AND STATISTICS
- >>27.05 Statistics
- >>>27.0502 Mathematical Statistics and Probability
- >>>27.0502 Mathematical Statistics and Probability
27.0502 in other classification systems
Equivalent and related codes across 2 other systems. Click any code to see its full definition, hierarchy, and crosswalks.
SOC 2018
5 mappingsISCED-F 2013
1 mappingOther CIP 2020 codes under 27.0502 Mathematical Statistics and Probability
Frequently asked questions
- What is CIP 2020 27.0502?
- CIP 2020 27.0502 is "Mathematical Statistics and Probability". A program that focuses on the mathematical theory underlying statistical methods and their use. Includes instruction in probability theory parametric and non-parametric inference, sequential analysis, multivariate analysis, Bayesian analysis, experimental design, time series analysis, resampling, robust statistics, limit theory, infinite particle systems, stochastic processes, martingales, Markov processes, and Banach spaces.
- How does CIP 2020 27.0502 map to other classification systems?
- 27.0502 Mathematical Statistics and Probability has equivalents in SOC 2018 (15-2011, 15-2021, 15-2041, +2 more); ISCED-F 2013 (0542). These crosswalks let you translate this code between CIP 2020 and 2 other classification systems.
- What is the parent category of 27.0502?
- 27.0502 Mathematical Statistics and Probability sits under 27.0502 Mathematical Statistics and Probability in the CIP 2020 hierarchy.
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