|Author:||Gregory Levitin,Anatoly Lisnianski|
|Title:||Multi-State System Reliability: Assessment, Optimization and Applications (Series on Quality, Reliability and Engineering Statistics, 6)|
|Format:||mbr doc lit txt|
|ePUB size:||1173 kb|
|FB2 size:||1584 kb|
|DJVU size:||1929 kb|
|Publisher:||World Scientific Pub Co Inc (March 12, 2003)|
Anatoly Lisnianski (Author). Find all the books, read about the author, and more. The 13-digit and 10-digit formats both work. Series: Series on Quality, Reliability and Engineering Statistics, 6 (Book 6). Hardcover: 376 pages. Publisher: World Scientific Pub Co Inc (May 1, 2003).
Series on quality, reliability & engineering statistics ; v. 6. Bibliography, etc. Note: Includes bibliographical reference and index. Personal Name: Levitin, Gregory. Uniform Title: Series on quality, reliability & engineering statistics ; v. Rubrics: Reliability (Engineering) Statistical methods System failures (Engineering). ISBN: 0306430312 Publication & Distribution: New York.
MBit,,, Series on Quality, Reliability and Engineering Statist. Author: Jayant V. Deshpande Sudha G Purohit. Multi-State System Reliability Assessment, Optimization and Applications A. Lisnianski & G. Levitin. Vol. 7: Mathematical and Statistical Methods in Reliability B. H. Lindqvist & K. A. Doksum It is particularly useful in engineering applications to model the lifetime distributions of units subjected to wear and tear or shocks. Let T be a continuous, non-negative valued random variable representing the lifetime of a unit. This is the time for which an individual (or unit) carries out its appointed task satisfactorily and then passes into "failed" or "dead" state thereafter. The age of the working unit or living individual is the time for which it is already working satisfactorily without failure.
6: Multi-State System Reliability Assessment, Optimization and Applications A. Lisnianski and G. Lindqvist and K. Doksum. 8: Response Modeling Methodology: Empirical Modeling for Engineering and Science H. Shore. 9: Reliability Modeling, Analysis and Optimization. Pham Vol. 10: Modern Statistical and Mathematical Methods in Reliability A. Wilson, S. Keller-McNulty, Y. Armuo and N. Limnios Vol. 11: Life-Time Data: Statistical Models and Methods J. V. Deshpande and S. G. Purohit. It is aimed at providing an organic view of the subject.
A system should be considered an MSS in the following situations ( Lisnianski and Levitin, 2003):. Assessment of airport arrival congestion and delay: Prediction and reliability. By combining these prediction and reliability models we can assess the characteristics of the airport arrival system: stationary state, availability, performance and degradation. The methodology is applied to a case study at a busy European airport, using real data from peak traffic months.
Software Reliability Assessment with OR Applications is a comprehensive text on software engineering and applied statistics, state-of-the art software reliability modeling, techniques and methods for reliability assessment, and related optimization problems.
Multi-State System Reliability book. Goodreads helps you keep track of books you want to read. Start by marking Multi-State System Reliability: Assessment, Optimization and Applications as Want to Read: Want to Read savin. ant to Read.
Anatoly Lisnianski, Gregory Levitin: Multi-State System Reliability - Assessment, Optimization and Applications. Series on Quality, Reliability and Engineering Statistics 6, WorldScientific 2003, ISBN 978-981-238-306-8, pp. 1-376.
Devoted to Multi-State System (MSS) reliability analysis and optimization, this volume provides an historical overview of the field. It presents basic concepts of MSS, defines MSS reliability measures and systematically describes the tools for MSS reliability assessment and optimization. Lisnianski, Anatoly was born on October 2, 1952 in St. Petersburg, Russia. Arrived in Israel, 1990. Son of Lev and Margarita Lisnianski.