Probability Theory - 13636 - MAT 2461 - 241 ; Probability Theory - 14030 - MATH 2461 - N
dc.contributor.author | Nandori, Peter | |
dc.date.accessioned | 2021-10-11T20:48:08Z | |
dc.date.available | 2021-10-11T20:48:08Z | |
dc.date.issued | 2021-09 | |
dc.description | SCW syllabi / 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.identifier.citation | Nandori, Peter. (2021, Fall), Syllabus, Probability Theory - 14030 - MATH 2461 - N ; Probability Theory - 13636 - MAT 2461 - 241 Stern College for Women, Yeshiva University. | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12202/7302 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | SCW Syllabi;MATH 2461 - N | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | combinatorics | en_US |
dc.subject | conditional probability | en_US |
dc.subject | discrete variables | en_US |
dc.subject | continuous random variables | en_US |
dc.subject | density | en_US |
dc.subject | distribution | en_US |
dc.subject | numbers | en_US |
dc.subject | mathematics | en_US |
dc.title | Probability Theory - 13636 - MAT 2461 - 241 ; Probability Theory - 14030 - MATH 2461 - N | en_US |
dc.type | Learning Object | en_US |
local.yu.facultypage | https://www.yu.edu/faculty/pages/nandori-peter |
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