000			02992cam a2200301zu 4500
001			88813256
003			FRCYB88813256
005			20250107211327.0
006			m o d
007			cr un
008			250107s2012 fr | o|||||0|0|||eng d
020			_a9781118294406
035			_aFRCYB88813256
040			_aFR-PaCSA _ben _c _erda
100	1		_aBlanco Castaneda, Liliana
245	0	1	_aIntroduction to Probability and Stochastic Processes with Applications _c['Blanco Castaneda, Liliana', 'Arunachalam, Viswanathan ', 'Dharmaraja, Selvamuthu ']
264		1	_bJohn Wiley & Sons _c2012
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aBlanco Castaneda, Liliana
700	0		_aArunachalam, Viswanathan
700	0		_aDharmaraja, Selvamuthu
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88813256 _qtext/html _a
520			_aAn easily accessible, real-world approach to probability and stochastic processes Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their careers. With an emphasis on applications in engineering, applied sciences, business and finance, statistics, mathematics, and operations research, the book features numerous real-world examples that illustrate how random phenomena occur in nature and how to use probabilistic techniques to accurately model these phenomena. The authors discuss a broad range of topics, from the basic concepts of probability to advanced topics for further study, including Itô integrals, martingales, and sigma algebras. Additional topical coverage includes: Distributions of discrete and continuous random variables frequently used in applications Random vectors, conditional probability, expectation, and multivariate normal distributions The laws of large numbers, limit theorems, and convergence of sequences of random variables Stochastic processes and related applications, particularly in queueing systems Financial mathematics, including pricing methods such as risk-neutral valuation and the Black-Scholes formula Extensive appendices containing a review of the requisite mathematics and tables of standard distributions for use in applications are provided, and plentiful exercises, problems, and solutions are found throughout. Also, a related website features additional exercises with solutions and supplementary material for classroom use. Introduction to Probability and Stochastic Processes with Applications is an ideal book for probability courses at the upper-undergraduate level. The book is also a valuable reference for researchers and practitioners in the fields of engineering, operations research, and computer science who conduct data analysis to make decisions in their everyday work.
999			_c61444 _d61444