Point Processes for Reliability Analysis, Ji Hwan Cha; Maxim Finkelstein
Автор: Hamilton, James Название: Time Series Analysis ISBN: 0691042896 ISBN-13(EAN): 9780691042893 Издательство: Wiley Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.
Автор: N. Limnios; G. Oprisan Название: Semi-Markov Processes and Reliability ISBN: 1461266408 ISBN-13(EAN): 9781461266402 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Not even a serious study of the renewal processes is possible without using the strong tool of Markov processes. The semi-Markov processes generalize the renewal processes as well as the Markov jump processes and have numerous applications, especially in relia- bility.
Автор: Ricky Smith Название: Rules of Thumb for Maintenance and Reliability Engineers, ISBN: 0750678623 ISBN-13(EAN): 9780750678629 Издательство: Elsevier Science Рейтинг: Цена: 15999.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Helps engineers instill knowledge on a daily basis, to do their jobs and to maintain and assure reliable equipment to help reduce costs. This book includes graphs, charts, calculations, tables, curves, and explanations, and basic rules of thumb that engineers working with equipment will need for basic maintenance and reliability of that equipment.
Автор: Mohammad Modarres, Mark Kaminskiy and Vasiliy Kriv Название: Reliability Engineering and Risk Analysis ISBN: 0849392470 ISBN-13(EAN): 9780849392474 Издательство: Taylor&Francis Рейтинг: Цена: 11329.00 р. Наличие на складе: Поставка под заказ.
Описание: With a focus on reliability analysis, this text provides a practical and comprehensive overview of reliability and risk analysis techniques. It features topics including generalized renewal with applications, Bayesian estimation methods, and estimation of bounds of repairable unit reliability and availability.
Описание: Gives a comprehensive description of the universal generating function technique and its applications in binary and multi-state system reliability analysis. This monograph is of interest to those interested in system reliability, performance analysis and optimization in industrial, electrical and nuclear engineering.
Автор: Joseph K. Blitzstein, Jessica Hwang Название: Introduction to Probability, Second Edition ISBN: 1138369918 ISBN-13(EAN): 9781138369917 Издательство: Taylor&Francis Рейтинг: Цена: 11176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.
Автор: Krzysztof Ko?owrocki; Joanna Soszy?ska-Budny Название: Reliability and Safety of Complex Technical Systems and Processes ISBN: 1447127129 ISBN-13(EAN): 9781447127123 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents integrated and analytical models for the reliability, availability and safety of complex non-repairable and repairable multistate technical systems, with reference to their operation processes and their practical applications.
Описание: ГЇВїВЅ This book covers Levy processes and their applications in the contexts of reliability and storage. Special attention is paid to life distributions and the maintenance of devices subject to degradation; estimating the parameters of the degradation process is also discussed, as is the maintenance of dams subject to Levy input.
Автор: Cha Название: Point Processes for Reliability Analysis ISBN: 331973539X ISBN-13(EAN): 9783319735399 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on the theory and applications of point processes, Point Processes for Reliability Analysis naturally combines classical results on the basic and advanced properties of point processes with recent theoretical findings of the authors.
Автор: Peccati Название: Stochastic Analysis for Poisson Point Processes ISBN: 3319052322 ISBN-13(EAN): 9783319052328 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Stochastic geometry is the branchof mathematics that studies geometric structures associated with randomconfigurations, such as random graphs, tilings and mosaics. Due to its closeties with stereology and spatial statistics, the results in this area arerelevant for a large number of important applications, e.g. to the mathematicalmodeling and statistical analysis of telecommunication networks, geostatisticsand image analysis. In recent years – due mainly to the impetus of the authorsand their collaborators – a powerful connection has been established betweenstochastic geometry and the Malliavin calculus of variations, which is acollection of probabilistic techniques based on the properties ofinfinite-dimensional differential operators. This has led in particular to thediscovery of a large number of new quantitative limit theorems forhigh-dimensional geometric objects. This unique book presents anorganic collection of authoritative surveys written by the principal actors in thisrapidly evolving field, offering a rigorous yet lively presentation of its manyfacets.
Автор: Kahle Название: Degradation Processes in Reliability ISBN: 1848218885 ISBN-13(EAN): 9781848218888 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
"Degradation process" refers to many types of reliability models, which correspond to various kinds of stochastic processes used for deterioration modeling. This book focuses on the case of a univariate degradation model with a continuous set of possible outcomes. The envisioned univariate models have one single measurable quantity which is assumed to be observed over time.
The first three chapters are each devoted to one degradation model. The last chapter illustrates the use of the previously described degradation models on some real data sets. For each of the degradation models, the authors provide probabilistic results and explore simulation tools for sample paths generation. Various estimation procedures are also developed.
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