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Download Stochastic Models in Reliability (Stochastic Modelling and Applied Probability) eBook

by Terje Aven

Download Stochastic Models in Reliability (Stochastic Modelling and Applied Probability) eBook
ISBN:
1461478936
Author:
Terje Aven
Category:
Engineering
Language:
English
Publisher:
Springer; 2nd ed. 2013 edition (August 5, 2013)
Pages:
297 pages
EPUB book:
1601 kb
FB2 book:
1134 kb
DJVU:
1781 kb
Other formats
txt lrf azw lit
Rating:
4.5
Votes:
103


New & Forthcoming Titles Stochastic Modelling and Applied Probability. Stochastic Models in Life Sciences.

New & Forthcoming Titles Stochastic Modelling and Applied Probability. New & Forthcoming Titles. Home New & Forthcoming Titles. From July 2014 series continued as "Probability Theory and Stochastic Modelling" PTSM (ISSN 2199-3130).

Request PDF On Jan 1, 2010, Eckhard Platen and others published Stochastic Modelling and Applied .

Chapter 3 presents several results obtained in population genetics for populations growing according to general branching processes. Chapter 4 describes two contributions on existence and uniqueness for deterministic dynamical systems and stochastic differential equations with irregular coefficients.

Stochastic Models in Reliability Aven Springer 9780387986333 : The aim of the .

Stochastic Models in Reliability Aven Springer 9780387986333 : The aim of the present book is to give a comprehensive up-to-date presentation of some of the classical areas of reliability, ba.

Stochastic Models in Reli. has been added to your Cart. This book provides a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations.

Stochastic Models in Reliability book. Uwe Jensen is working as a Professor at the Institute of Applied Mathematics and Statistics of the University of Hohenheim in Stuttgart, Germany. The authors have done an excellent job of unifying some of the stochastic models in reliability. The book is a good reference book but may not be suitable as a textbook for students in professional fields such as engineering.

Although three decades have passed since the first publication of this book, it is reprinted now as a result of popular demand. The author is one of the leading experts of the field and gives an authoritative treatment of a subject.

Stochastic Calculus and Financial Applications (Stochastic Modelling and Applied Probability 45.

Stochastic Calculus and Financial Applications (Stochastic Modelling and Applied Probability 45). 316 Pages·2000·4. 28 MB·335 Downloads·New! Stochastic calculus has important applications to mathematical finance. This book will appeal. Applied Statistics and Probability for Engineers. 5 MB·17,757 Downloads Probability and Stochastic Processes Problem Solutions. 32 MB·4,711 Downloads.

The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). Vol 34(6 Issues in 2018 ) Print ISSN: 1524-1904 Online ISSN: 1526-4025 Impact Factor: . 24.

Topics to be added include managerial processes, reliability, quality control, data analysis and data mining.

Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis ) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. A second objective is to present new methods for solving such problems. Topics to be added include managerial processes, reliability, quality control, data analysis and data mining.

This book  provides a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations.

 

In this second edition of the book, two major topics have been added to the original version:  copula models which are used to study the effect of structural dependencies on the system reliability; and maintenance optimization which highlights delay time models under  safety constraints.

 

 

Terje Aven is Professor of Reliability and Risk Analysis  at University of Stavanger, Norway. Uwe Jensen is working as a Professor at the Institute of Applied Mathematics and Statistics of the University of Hohenheim in Stuttgart, Germany.

 

Review of first edition:

 

"This is an excellent book on mathematical, statistical and stochastic models in reliability. The authors have done an excellent job of unifying some of the stochastic models in reliability. The book is a good reference book but may not be suitable as a textbook for students in professional fields such as engineering. This book may be used for graduate level seminar courses for students who have had at least the first course in stochastic processes and some knowledge of reliability mathematics. It should be a good reference book for researchers in reliability mathematics."

 

--Mathematical Reviews (2000)