| Dewey Class |
519.2 |
| Titolo |
Probability and Statistical Models ([Ebook]) : Foundations for Problems in Reliability and Financial Mathematics / by Arjun K. Gupta, Wei-Bin Zeng, Yanhong Wu. |
| Autore |
Gupta, Arjun K. |
| Added Personal Name |
Zeng, Wei-Bin |
| Wu, Yanhong |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
First edition |
| Pubblicazione |
Boston, MA : : Birkhäuser, |
| , 2010. |
| Physical Details |
XII, 267 pages : online resource. |
| ISBN |
9780817649876 |
| Summary Note |
With an emphasis on models and techniques, this textbook introduces many of the fundamental concepts of stochastic modeling that are now a vital component of almost every scientific investigation. These models form the basis of well-known parametric lifetime distributions such as exponential, Weibull, and gamma distributions, as well as change-point and mixture models. The authors also consider more general notions of non-parametric lifetime distribution classes. In particular, emphasis is placed on laying the foundation for solving problems in reliability, insurance, finance, and credit risk. Exercises and solutions to selected problems accompany each chapter in order to allow students to explore these foundations. 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.: |
| Contents note |
Preface -- Preliminaries -- Exponential Distribution -- Poisson Process -- Parametric Families -- Lifetime Distribution Classes -- Multivariate Lifetime Distributions -- Association and Dependence -- Renewal Theory -- Risk Theory -- Asset Pricing Theory -- Credit Risk Modeling -- Bibliographical Notes -- Bibliography -- Answers and Solutions to Selected Problems -- Index. |
| System details note |
Online access is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-0-8176-4987-6 |
| Link alle Opere Legate |
Riferimenti soggetto: .
Appl.Mathematics/Computational Methods of Engineering .
Distribution (Probability theory) .
Engineering mathematics .
Finance .
Mathematical Modeling and Industrial Mathematics .
Probability theory and stochastic processes .
Quantitative Finance .
Statistics for Business/Economics/Mathematical Finance/Insurance .
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences .
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