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Introduction to Probability Theory With Engineering Applications (Paperback)
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Introduction to Probability Theory With Engineering Applications (Paperback)
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Introduction to Probability Theory with Engineering Applications
provides students with a solid foundation in probability theory,
which deals with the modeling of uncertainty, and illuminates
several modern applications of probability in engineering, physics
and data analysis. The text is organized into five chapters and
three appendices. The opening chapter introduces the notion of
probability as a model or representation for the uncertainty
associated with statistical experiments. In additional chapters,
students learn about random variables through explanations of
discrete and continuous variables, conditional distribution, and
statistical distribution. Students examine functions of one random
variable, two random variables, and extensions to multivariable
distributions. The final chapter covers random processes. Helpful
appendices include six computer laboratories that correspond with
the content in Chapters 2-5, assessment and review questions for
each chapter, and basic results from linear algebra. The book is an
ideal resource for courses in engineering, computer science,
biomedicine, physics, and mathematics. It is also an excellent text
for researchers seeking an overview in applied probability theory.
It is assumed readers have a background in introductory calculus
and computer programming.
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