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Basic Probability Theory with Applications
Basic Probability Theory with Applications Free & Full Download

Mario Lefebvre "Basic Probability Theory with Applications"
Aug 2009 | English | ISBN-13: 978-0-387-74994-5 | 340 Pages | PDF | 5.64 MB
Aug 2009 | English | ISBN-13: 978-0-387-74994-5 | 340 Pages | PDF | 5.64 MB
* Presents elementary probability theory with interesting and well-chosen applications that illustrate the theory
* Main results in elementary probability, random variables, random vectors and the central limit theorem are covered
* Applications in reliability theory, basic queuing models, and time series are presented
* Over 400 exercises reinforce the material and provide students with ample practice
* Introductory chapter reviews the basic elements of differential calculus which are used in the material to follow
This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice.
This textbook can be used by undergraduate students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics.
* Main results in elementary probability, random variables, random vectors and the central limit theorem are covered
* Applications in reliability theory, basic queuing models, and time series are presented
* Over 400 exercises reinforce the material and provide students with ample practice
* Introductory chapter reviews the basic elements of differential calculus which are used in the material to follow
This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice.
This textbook can be used by undergraduate students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics.

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