Introduction to Probability Models

dc.contributor.author	Ross, Sheldon M.
dc.date.accessioned	2019-04-28T05:19:44Z
dc.date.available	2019-04-28T05:19:44Z
dc.date.issued	2010
dc.identifier.citation	Academic Press is an Imprint of Elsevier	en_US
dc.identifier.isbn	978-0-12-375686-2
dc.identifier.uri	http://hdl.handle.net/123456789/1210
dc.description	Any realistic model of a real-world phenomenon must take into account the possibility of randomness. That is, more often than not, the quantities we are interested in will not be predictable in advance but, rather, will exhibit an inherent variation that should be taken into account by the model.	en_US
dc.description.abstract	Any realistic model of a real-world phenomenon must take into account the possibility of randomness. That is, more often than not, the quantities we are interested in will not be predictable in advance but, rather, will exhibit an inherent variation that should be taken into account by the model.	en_US
dc.language.iso	en	en_US
dc.publisher	Elsevier	en_US
dc.subject	Introduction to Probability Theory	en_US
dc.subject	Random Variables	en_US
dc.subject	Conditional Probability and Conditional Expectation	en_US
dc.title	Introduction to Probability Models	en_US
dc.title.alternative	Tenth Edition	en_US
dc.type	Book	en_US