Fundamentals of Probability with Stochastic Processes

By:

Ghahramani, Saeed

Material type: Text

TextLanguage: English Publication details: Noida, Uttar Pradesh: Pearson Education Limited, 2013Edition: 3Description: 622ISBN:

9789332535107

Subject(s):

DDC classification:

519.2 GHA

Summary: bout the Book: Fundamentals of Probability, With Stochastic Processes: 3rd Edition Probability is presented in a very clear way in this text: through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. Due to its unique organization, this text has also been successfully used in teaching courses in discrete probability. Features NEW-Chapter on Stochastic Processes-Covers more in-depth material on Poisson processes, presents the basics of Markov chains, continuous-time Markov chains, and Brownian Motion.

List(s) this item appears in: New Arrivals for the Month of March 2023 - Statistics

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Alliance School of Liberal Arts	519.2 GHA (Browse shelf(Opens below))	Available		LA01736

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Previous	519.2 BEA Probability: the Science of Uncertainity: with Applications to Investments, Insurance, and Engineering	519.2 BHA Modern Probability Theory	519.2 DEV Probability and Statistics: for Engineering and the Sciences	519.2 GHA Fundamentals of Probability with Stochastic Processes	519.2 LIP Introduction to Probabilty And Statistics	519.2 LUD Random Processes: Filtering, Estimation and Detection	519.2 PAL Probability and Queueing Theory	Next

bout the Book: Fundamentals of Probability, With Stochastic Processes: 3rd Edition Probability is presented in a very clear way in this text: through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. Due to its unique organization, this text has also been successfully used in teaching courses in discrete probability. Features NEW-Chapter on Stochastic Processes-Covers more in-depth material on Poisson processes, presents the basics of Markov chains, continuous-time Markov chains, and Brownian Motion.

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