Response Modeling Methodology Empirical Modeling For Engineering And Science
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Response Modeling Methodology Empirical Modeling For Engineering And Science
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Author : Haim Shore
language : en
Publisher: World Scientific
Release Date : 2005-04-26
Response Modeling Methodology Empirical Modeling For Engineering And Science written by Haim Shore and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-26 with Technology & Engineering categories.
This book introduces a new approach, denoted RMM, for an empirical modeling of a response variation, relating to both systematic variation and random variation. In the book, the developer of RMM discusses the required properties of empirical modeling and evaluates how current approaches conform to these requirements. In addition, he explains the motivation for the development of the new methodology, introduces in detail the new approach and its estimation procedures, and shows how it may provide an excellent alternative to current approaches for empirical modeling (like Generalized Linear Modeling, GLM). The book also demonstrates that a myriad of current relational models, developed independently in various engineering and scientific disciplines, are in fact special cases of the RMM model, and so are many current statistical distributions, transformations and approximations.
Advances In Computational Methods In Sciences And Engineering 2005 2 Vols
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Author : Theodore Simos
language : en
Publisher: CRC Press
Release Date : 2022-05-04
Advances In Computational Methods In Sciences And Engineering 2005 2 Vols written by Theodore Simos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-04 with Computers categories.
This volume brings together selected contributed papers presented at the International Conference of Computational Methods in Science and Engineering (ICCMSE 2005), held in Greece, 21 aEURO" 26 October 2005. The conference aims to bring together computational scientists from several disciplines in order to share methods and ideas. The ICCMSE is unique in its kind. It regroups original contributions from all fields of the traditional Sciences, Mathematics, Physics, Chemistry, Biology, Medicine and all branches of Engineering. It would be perhaps more appropriate to define the ICCMSE as a conference on computational science and its applications to science and engineering. Topics of general interest are: Computational Mathematics, Theoretical Physics and Theoretical Chemistry. Computational Engineering and Mechanics, Computational Biology and Medicine, Computational Geosciences and Meteorology, Computational Economics and Finance, Scientific Computation. High Performance Computing, Parallel and Distributed Computing, Visualization, Problem Solving Environments, Numerical Algorithms, Modelling and Simulation of Complex System, Web-based Simulation and Computing, Grid-based Simulation and Computing, Fuzzy Logic, Hybrid Computational Methods, Data Mining, Information Retrieval and Virtual Reality, Reliable Computing, Image Processing, Computational Science and Education etc. More than 800 extended abstracts have been submitted for consideration for presentation in ICCMSE 2005. From these 500 have been selected after international peer review by at least two independent reviewers.
Lifetime Data Statistical Models And Methods Second Edition
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Author : Jayant V Deshpande
language : en
Publisher: World Scientific Publishing Company
Release Date : 2015-12-15
Lifetime Data Statistical Models And Methods Second Edition written by Jayant V Deshpande and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-15 with Mathematics categories.
This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book.This new edition includes new sections on Frailty Models and Accelerated Life Time Models. Many more illustrations and exercises are also included.
Encyclopedia And Handbook Of Process Capability Indices A Comprehensive Exposition Of Quality Control Measures
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Author : Wen-lea Pearn
language : en
Publisher: World Scientific
Release Date : 2006-05-16
Encyclopedia And Handbook Of Process Capability Indices A Comprehensive Exposition Of Quality Control Measures written by Wen-lea Pearn and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-16 with Technology & Engineering categories.
This unique volume provides an up-to-date and detailed description of the various process capability indices widely (and sometimes misleadingly) used in the applications at production sites. The authors, who are internationally recognized experts in this area with numerous contributions to the field, provide a lucid exposition, which covers all the main aspects, developments and advances.The concept of Process Capability Index (PCI) is barely 20 years old, but the multitude of available versions can overwhelm even the most seasoned practitioner. The organized and self-contained presentation of the material starting from 1980's primitive indices (Cp and Cpk) up to the newly proposed indices for the cases of multiple dependent characteristics results in an authoritative and indispensable reference.A proper balance between theoretical investigation and “rule-of-thumb” practical procedures is maintained in order to eliminate the tensions among various methodologies of assessing the capability of industrial processes.
Modern Statistical And Mathematical Methods In Reliability
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Author : Sallie Keller-mcnulty
language : en
Publisher: World Scientific
Release Date : 2005-10-03
Modern Statistical And Mathematical Methods In Reliability written by Sallie Keller-mcnulty and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-03 with Mathematics categories.
This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research. The meeting serves as a forum for discussing fundamental issues on mathematical methods in reliability theory and its applications.A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modeling, and software reliability. The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford, Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.
Computational Methods For Reliability And Risk Analysis
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Author : Enrico Zio
language : en
Publisher: World Scientific
Release Date : 2009
Computational Methods For Reliability And Risk Analysis written by Enrico Zio and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Technology & Engineering categories.
This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.
Basics Of Reliability And Risk Analysis Worked Out Problems And Solutions
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Author : Piero Baraldi
language : en
Publisher: World Scientific Publishing Company
Release Date : 2011-04-01
Basics Of Reliability And Risk Analysis Worked Out Problems And Solutions written by Piero Baraldi and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-01 with Technology & Engineering categories.
Reliability and safety are fundamental attributes of any modern technological system. To achieve this, diverse types of protection barriers are placed as safeguards from the hazard posed by the operation of the system, within a multiple-barrier design concept. These barriers are intended to protect the system from failures of any of its elements, hardware, software, human and organizational.Correspondingly, the quantification of the probability of failure of the system and its protective barriers, through reliability and risk analyses, becomes a primary task in both the system design and operation phases.This exercise book serves as a complementary tool supporting the methodology concepts introduced in the books ';An introduction to the basics of reliability and risk analysis'; and ';Computational methods for reliability and risk analysis'; by Enrico Zio, in that it gives an opportunity to familiarize with the applications of classical and advanced techniques of reliability and risk analysis.
Handbook Of Fitting Statistical Distributions With R
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Author : Zaven A. Karian
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Handbook Of Fitting Statistical Distributions With R written by Zaven A. Karian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
With the development of new fitting methods, their increased use in applications, and improved computer languages, the fitting of statistical distributions to data has come a long way since the introduction of the generalized lambda distribution (GLD) in 1969. Handbook of Fitting Statistical Distributions with R presents the latest and best methods
An Introduction To The Basics Of Reliability And Risk Analysis
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Author : Enrico Zio
language : en
Publisher: World Scientific
Release Date : 2007-02-28
An Introduction To The Basics Of Reliability And Risk Analysis written by Enrico Zio and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-28 with Technology & Engineering categories.
The necessity of expertise for tackling the complicated and multidisciplinary issues of safety and risk has slowly permeated into all engineering applications so that risk analysis and management has gained a relevant role, both as a tool in support of plant design and as an indispensable means for emergency planning in accidental situations. This entails the acquisition of appropriate reliability modeling and risk analysis tools to complement the basic and specific engineering knowledge for the technological area of application.Aimed at providing an organic view of the subject, this book provides an introduction to the principal concepts and issues related to the safety of modern industrial activities. It also illustrates the classical techniques for reliability analysis and risk assessment used in current practice.
Process Modelling And Model Analysis
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Author : Ian T. Cameron
language : en
Publisher: Elsevier
Release Date : 2001-05-23
Process Modelling And Model Analysis written by Ian T. Cameron and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05-23 with Technology & Engineering categories.
Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. - Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation - Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling - Illustrates the notions, tools, and techniques of process modeling with examples and advances applications