This popular text promotes cross-disciplinary research into the modeling of the ever-increasingly complex data involved in scientific and technological research. It also provides a unique emphasis on where and how to apply probability models to real phenomena and an unusually strong preparation in the tools necessary for such applications. In this latest edition, the material on the distributions of sums of independent random variables is now presented before the discussion of individual distributions.From the Back Cover:
This title features, as a unifying theme, the role probability models can play in scientific and practical applications. It offers numerous examples, with actual data, of real-world uses of probability models. In addition, the book features detailed coverage of the properties and uses of probability models, other than the normal distribution, that have been successful in modeling real phenomena.
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