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- W157341399 abstract "This chapter provides the foundation of the mathematical machinery necessary to come to grips with probabilistic phenomena, that is, to deal with random or nondeterministic variables. Most of the interesting variables in modern computer systems such as the response time of an on-line inquiry system or the retrieval time of a record from a direct access storage device are random variables. The chapter presents some formal definitions to explain the probability concept and examples to illustrate the definitions. It defines random variable and explains the way by which the probability distribution of a random variable is defined. It also provides some examples of random variables of the two main types, discrete and indiscrete, which are usually called continuous. The chapter presents the way by which some parameters of a random variable X such as expected value E[X] and variance Var[X] can be used to make interesting probability calculations and estimates and how transform methods such as the use of moment generating functions and the Laplace–Stieltjes transform simplify many probability calculations." @default.
- W157341399 created "2016-06-24" @default.
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- W157341399 date "1978-01-01" @default.
- W157341399 modified "2023-09-25" @default.
- W157341399 title "PROBABILITY AND RANDOM VARIABLES" @default.
- W157341399 doi "https://doi.org/10.1016/b978-0-12-051050-4.50008-3" @default.
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