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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability distributions; statistical estimation and testing; confidence intervals; and an introduction to linear regression.
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Tag(s):
- mathematics
- probability models
- combinatorics
- random variables
- discrete probability distributions
- continuous probability distributions
- statistical estimation
- statistical testing
- confidence intervals
- linear regression
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory.
Author(s):
Tag(s):
- mathematics
- earth
- solar system
- geophysics
- gravitational field
- magnetic field
- seismology
- geodynamics
- laws of large numbers
- central limit theorems for sums of independent random variables
- conditioning and martingales
- brownian motion and elements of diffusion theory
- functional limit theorems
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course provides a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. The course topics include hypothesis testing and estimation. It also includes confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation.
Author(s):
Tag(s):
- mathematics
- hypothesis testing and estimation; confidence intervals; chi-square tests; nonparametric statistics; analysis of variance; regression; correlation
- hypothesis testing and estimation
- confidence intervals
- chi-square tests
- nonparametric statistics
- analysis of variance
- regression
- correlation
More OCW like this |
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course offers a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation.
OCW offers an earlier version of this cours
Author(s):
Tag(s):
- mathematics
- hypothesis testing and estimation
- confidence intervals
- chi-square tests
- nonparametric statistics
- analysis of variance
- regression
- correlation
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical process theory.
Author(s):
Tag(s):
- mathematics
- machine learning algorithms
- boosting
- support
- support vector machines
- neural networks
- vapnik- chervonenkis theory
- concentration inequalities in product spaces
- empirical process theory
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