MAT2461: Probability Theory
| dc.contributor.author | Belbruno, Edward | |
| dc.date.accessioned | 2022-05-09T20:23:18Z | |
| dc.date.available | 2022-05-09T20:23:18Z | |
| dc.date.issued | 2022-08 | |
| dc.identifier.citation | Belbruno, E. (2022, Fall). MAT2461: Probability Theory. Yeshiva College, Yeshiva University. | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12202/8160 | |
| dc.description | YC course syllabus / YU only | en_US |
| dc.description.abstract | Probability spaces; combinatorics; conditional probability; discrete and continuous random variables; examples; density and distribution functions; independence; expectation and variance; moment-generating functions; law of large numbers; central limit theorem; applications. (See STA 2461.) Prerequisite: MAT 1510 0.000 TO 3.000 Credit hours | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Yeshiva College, Yeshiva University | en_US |
| dc.relation.ispartofseries | MAT2461: Probability Theory;MAT2461 | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | Probability Theory | en_US |
| dc.subject | mathematics | en_US |
| dc.subject | discrete and continuous random variables | en_US |
| dc.title | MAT2461: Probability Theory | en_US |
| dc.type | Learning Object | en_US |
| dc.contributor.orcid | 0000-0002-4241-7336 | en_US |
| local.yu.facultypage | https://www.yu.edu/faculty/pages/belbruno-edward | en_US |
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