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Titlebook: Basics of Probability and Stochastic Processes; Esra Bas Textbook 2019 Springer Nature Switzerland AG 2019 Markov chains.Random variables.

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期刊全稱Basics of Probability and Stochastic Processes
影響因子2023Esra Bas
視頻videohttp://file.papertrans.cn/182/181277/181277.mp4
發(fā)行地址Includes numerous figures and diagrams to aid comprehension of the basic concepts, examples and problems.Features introductory examples, which are revisited as the new concepts are presented.Provides
圖書(shū)封面Titlebook: Basics of Probability and Stochastic Processes;  Esra Bas Textbook 2019 Springer Nature Switzerland AG 2019 Markov chains.Random variables.
影響因子.This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help readers grasp the concepts, and the solutions to the exercises and problems. Further, a table format is also used where relevant for better comparison of the ideas and formulae. The first part of the book introduces readers to the essentials of probability, including combinatorial analysis, conditional probability, and discrete and continuous random variable. The second part then covers fundamental stochastic processes, including point, counting, renewal and regenerative processes, the Poisson process, Markov chains, queuing models and reliability theory. Primarily intended for undergraduate engineering students, it is also useful for graduate-level students wanting to refresh their knowledge of the basics of probability and stochastic processes..
Pindex Textbook 2019
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https://doi.org/10.1007/978-1-4615-5075-4 random variable, and a continuous random variable, and the formulae of the probability mass function, probability density function, cumulative distribution function, complementary cumulative distribution function (tail function), expected value of a random variable, expected value of a function of
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Springer Tracts in Modern Physicsandard normal random variable, and other continuous random variables including gamma random variable, lognormal random variable, and Weibull random variable. The standard normal random variable approximation to a binomial random variable has also been provided. The formulae of the basic parameters f
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