Proceedings Of The Second Australia Japan Workshop On Stochastic Models In Engineering Technology And Management
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Author | : Australia Japan Workshop on Stochastic Models in Engineering, Technology and Management |
Publisher | : |
Total Pages | : 663 |
Release | : 1996 |
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Total Pages | : 0 |
Release | : 1993 |
Genre | : Engineering |
ISBN | : 9789810214524 |
Author | : Shunji Osaki |
Publisher | : World Scientific |
Total Pages | : 628 |
Release | : 1993-04-27 |
Genre | : |
ISBN | : 9814552879 |
The proceedings contain a range of papers dealing with different issues relating to the theme of the workshop. The majority of them deal with model formulation and model analysis. A few deal with mathematical techniques that are needed to carry out model analysis. Some of the papers are theoretical whilst others are applied. As a result, the topics covered in these papers highlight the multifaceted nature of stochastic modelling and diversity of the applications of stochastic models.
Author | : |
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Total Pages | : 612 |
Release | : 1993 |
Genre | : Engineering |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 612 |
Release | : 1993 |
Genre | : TECHNOLOGY & ENGINEERING |
ISBN | : 9789814535588 |
Author | : |
Publisher | : |
Total Pages | : 563 |
Release | : 1999 |
Genre | : Engineering |
ISBN | : 9781864992274 |
Author | : Shunji Osaki |
Publisher | : Springer Science & Business Media |
Total Pages | : 338 |
Release | : 2012-11-02 |
Genre | : Mathematics |
ISBN | : 3540248080 |
Our daily lives can be maintained by the high-technology systems. Computer systems are typical examples of such systems. We can enjoy our modern lives by using many computer systems. Much more importantly, we have to maintain such systems without failure, but cannot predict when such systems will fail and how to fix such systems without delay. A stochastic process is a set of outcomes of a random experiment indexed by time, and is one of the key tools needed to analyze the future behavior quantitatively. Reliability and maintainability technologies are of great interest and importance to the maintenance of such systems. Many mathematical models have been and will be proposed to describe reliability and maintainability systems by using the stochastic processes. The theme of this book is "Stochastic Models in Reliability and Main tainability. " This book consists of 12 chapters on the theme above from the different viewpoints of stochastic modeling. Chapter 1 is devoted to "Renewal Processes," under which classical renewal theory is surveyed and computa tional methods are described. Chapter 2 discusses "Stochastic Orders," and in it some definitions and concepts on stochastic orders are described and ag ing properties can be characterized by stochastic orders. Chapter 3 is devoted to "Classical Maintenance Models," under which the so-called age, block and other replacement models are surveyed. Chapter 4 discusses "Modeling Plant Maintenance," describing how maintenance practice can be carried out for plant maintenance.
Author | : Andrew N O'Connor |
Publisher | : RIAC |
Total Pages | : 220 |
Release | : 2011 |
Genre | : Mathematics |
ISBN | : 1933904062 |
The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.
Author | : Sharad Saxena |
Publisher | : SAS Institute |
Total Pages | : 439 |
Release | : 2022-02-21 |
Genre | : Computers |
ISBN | : 1954846657 |
Discover how to build decision trees using SAS Viya! Tree-Based Machine Learning Methods in SAS Viya covers everything from using a single tree to more advanced bagging and boosting ensemble methods. The book includes discussions of tree-structured predictive models and the methodology for growing, pruning, and assessing decision trees, forests, and gradient boosted trees. Each chapter introduces a new data concern and then walks you through tweaking the modeling approach, modifying the properties, and changing the hyperparameters, thus building an effective tree-based machine learning model. Along the way, you will gain experience making decision trees, forests, and gradient boosted trees that work for you. By the end of this book, you will know how to: build tree-structured models, including classification trees and regression trees. build tree-based ensemble models, including forest and gradient boosting. run isolation forest and Poisson and Tweedy gradient boosted regression tree models. implement open source in SAS and SAS in open source. use decision trees for exploratory data analysis, dimension reduction, and missing value imputation.
Author | : Kurt Jensen |
Publisher | : Springer |
Total Pages | : 622 |
Release | : 2004-03-09 |
Genre | : Computers |
ISBN | : 3540247300 |
This volume contains the proceedings of the 10th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2004). TACAS 2004 took place in Barcelona, Spain, from March 29th to April 2nd, as part of the 7th European Joint Conferences on Theory and Practice of Software (ETAPS 2004), whose aims, organization, and history are detailed in a foreword by the ETAPS Steering Committee Chair, Jos ́ e Luiz Fiadeiro. TACAS is a forum for researchers, developers, and users interested in ri- rously based tools for the construction and analysis of systems. The conference serves to bridge the gaps between di?erent communities including, but not - mited to, those devoted to formal methods, software and hardware veri?cation, static analysis, programming languages, software engineering, real-time systems, and communication protocols that share common interests in, and techniques for, tool development. In particular, by providing a venue for the discussion of common problems, heuristics, algorithms, data structures, and methodologies, TACAS aims to support researchers in their quest to improve the utility, rel- bility, ?exibility, and e?ciency of tools for building systems. TACASseekstheoreticalpaperswithaclearlinktotoolconstruction,papers describingrelevantalgorithmsandpracticalaspectsoftheirimplementation,- pers giving descriptions of tools and associated methodologies, and case studies with a conceptual message.