Reliability Markov

"System and Bayesian Reliability" ed. by  Yu Hayakawa, Telba Irony, Min Xie (Repost)

"System and Bayesian Reliability: Essays in Honor of Professor Richard E. Barlow on his 70th Birthday" ed. by Yu Hayakawa, Telba Irony, Min Xie
Series on Quality, Reliability, and Engineering Statistics, Volume 5
World Scientific Publishing | 2001 | ISBN: 9810248652 9789810248659 9789812799548 | 438 pages | PDF | 15 MB

This volume is a collection of articles on system and Bayesian reliability analysis. The book is dedicated to Emeritus Professor Richard E. Barlow, who is well known for his pioneering research on reliability theory and Bayesian reliability analysis.

Markov Decision Processes with Applications to Finance (Repost)  eBooks & eLearning

Posted by DZ123 at April 26, 2018
Markov Decision Processes with Applications to Finance (Repost)

Nicole Bäuerle, Ulrich Rieder, "Markov Decision Processes with Applications to Finance"
English | 2011 | ISBN: 3642183239 | PDF | pages: 405 | 3.5 mb

Organizing for Reliability  eBooks & eLearning

Posted by Underaglassmoon at April 26, 2018
Organizing for Reliability

Organizing for Reliability: A Guide for Research and Practice
Stanford Business | English | 2018 | ISBN-10: 0804793611 | 344 pages | PDF | 4.31 MB

by Ranga Ramanujam (Editor), Karlene H. Roberts (Editor)

Markov Chains: Analytic and Monte Carlo Computations  eBooks & eLearning

Posted by tarantoga at Jan. 29, 2018
Markov Chains: Analytic and Monte Carlo Computations

Carl Graham, "Markov Chains: Analytic and Monte Carlo Computations"
ISBN: 1118517075 | 2014 | EPUB | 256 pages | 39 MB
Markov Models for Pattern Recognition: From Theory to Applications, 2nd edition (repost)

Gernot A. Fink, "Markov Models for Pattern Recognition: From Theory to Applications, 2nd edition"
2014 | ISBN-10: 1447163079 | 300 pages | PDF | 3,8 MB

Markov Chains and Dependability Theory (repost)  eBooks & eLearning

Posted by interes at Oct. 19, 2017
Markov Chains and Dependability Theory (repost)

Markov Chains and Dependability Theory by Gerardo Rubino and Bruno Sericola
English | 2014 | ISBN: 1107007577 | 288 pages | PDF | 2 MB
Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis

Vlad Stefan Barbu, Nikolaos Limnios, "Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis"
English | 2008 | ISBN: 0387731717 | PDF | pages: 232 | 3,8 mb

Semi-Markov Risk Models for Finance, Insurance and Reliability [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Oct. 20, 2014
Semi-Markov Risk Models for Finance, Insurance and Reliability [Repost]

Jacques Janssen, Raimondo Manca - Semi-Markov Risk Models for Finance, Insurance and Reliability
Published: 2007-03-26 | ISBN: 0387707298, 1441943579, 0387707301 | PDF | 430 pages | 3 MB

Semi-Markov Risk Models for Finance, Insurance and Reliability (Repost)  eBooks & eLearning

Posted by melia at Jan. 31, 2013
Semi-Markov Risk Models for Finance, Insurance and Reliability (Repost)

Jacques Janssen, Raimondo Manca, "Semi-Markov Risk Models for Finance, Insurance and Reliability"
English | 2007 | ISBN: 0387707298 | 430 pages | PDF | 3.5 MB

Semi-Markov Risk Models for Finance, Insurance and Reliability  eBooks & eLearning

Posted by ertugrul ergun at June 4, 2007
Semi-Markov Risk Models for Finance, Insurance and Reliability

Jacques Janssen, Raimondo Manca, "Semi-Markov Risk Models for Finance, Insurance and Reliability"
Springer | ISBN / ASIN:0387707298 | 2007 | 430 pages | PDF | 3.3MB

This book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems as examples. After a presentation of the main probabilistic tools necessary for understanding of the book, the authors show how to apply semi-Markov processes in finance, starting from the axiomatic definition and continuing eventually to the most advanced financial tools, particularly in insurance and in risk-and-ruin theories. Also considered are reliability problems that interact with credit risk theory in finance. The unique approach of this book is to solve finance and insurance problems with semi-Markov models in a complete way and furthermore present real-life applications of semi-Markov processes.