18.440 Probability and Random Variables, Fall 2005
This course introduces students to probability and random variable. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem;...
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| Language: | en-US |
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2005
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| Online Access: | http://hdl.handle.net/1721.1/49827 |
| _version_ | 1811087133673259008 |
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| author | Dudley, R. M. (Richard M.) |
| author_facet | Dudley, R. M. (Richard M.) |
| author_sort | Dudley, R. M. (Richard M.) |
| collection | MIT |
| description | This course introduces students to probability and random variable. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem. |
| first_indexed | 2024-09-23T13:40:36Z |
| id | mit-1721.1/49827 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2024-09-23T13:40:36Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | mit-1721.1/498272019-09-12T16:36:15Z 18.440 Probability and Random Variables, Fall 2005 Probability and Random Variables Dudley, R. M. (Richard M.) Probability spaces random variables distribution functions Binomial geometric hypergeometric Poisson distributions Uniform exponential normal gamma and beta distributions Conditional probability Bayes theorem joint distributions Chebyshev inequality law of large numbers central limit theorem This course introduces students to probability and random variable. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem. 2005-12 18.440-Fall2005 local: 18.440 local: IMSCP-MD5-41ab802d616dffa8d3c3a291f4150c84 http://hdl.handle.net/1721.1/49827 en-US Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. text/html Fall 2005 |
| spellingShingle | Probability spaces random variables distribution functions Binomial geometric hypergeometric Poisson distributions Uniform exponential normal gamma and beta distributions Conditional probability Bayes theorem joint distributions Chebyshev inequality law of large numbers central limit theorem Dudley, R. M. (Richard M.) 18.440 Probability and Random Variables, Fall 2005 |
| title | 18.440 Probability and Random Variables, Fall 2005 |
| title_full | 18.440 Probability and Random Variables, Fall 2005 |
| title_fullStr | 18.440 Probability and Random Variables, Fall 2005 |
| title_full_unstemmed | 18.440 Probability and Random Variables, Fall 2005 |
| title_short | 18.440 Probability and Random Variables, Fall 2005 |
| title_sort | 18 440 probability and random variables fall 2005 |
| topic | Probability spaces random variables distribution functions Binomial geometric hypergeometric Poisson distributions Uniform exponential normal gamma and beta distributions Conditional probability Bayes theorem joint distributions Chebyshev inequality law of large numbers central limit theorem |
| url | http://hdl.handle.net/1721.1/49827 |
| work_keys_str_mv | AT dudleyrmrichardm 18440probabilityandrandomvariablesfall2005 AT dudleyrmrichardm probabilityandrandomvariables |