The key subjects covered include:
* Exponential distributions and the Poisson process
* Parametric lifetime distributions
* Non-parametric lifetime distribution classes
* Multivariate exponential extensions
* Association and dependence
* Renewal theory
* Problems in reliability, insurance, finance, and credit risk
This work differs from traditional probability textbooks in a number of ways. Since no measure theory knowledge is necessary to understand the material and coverage of the central limit theorem and normal theory related topics has been omitted, the work may be used as a single-semester senior undergraduate or first-year graduate textbook as well as in a second course on probability modeling. Many of the chapters that examine central topics in applied probability can be read independently, allowing both instructors and readers extra flexibility in their use of the book.
Probability and Statistical Models is for a wide audience including advanced undergraduate and beginning-level graduate students, researchers, and practitioners in mathematics, statistics, engineering, and economics.
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"This is a nice introductory textbook on stochastic processes, basically devoted to the Poisson process and its variants. The basic results are well illustrated by many examples with many problems at the end of each chapter. ... The book is suitable for students that do not have an advanced training in the measure-theoretic aspects of probability or stochastic integration." (Henryk Gzyl, Zentralblatt MATH, Vol. 1215, 2011)