Applications In Reliability And Statistical Computing

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Applications in Reliability and Statistical Computing

Hoang Pham
Applications in Reliability and Statistical Computing Book PDF

Author : Hoang Pham
Publisher : Unknown
Page : 0 pages
File Size : 51,8 Mb
Release : 2023
Category : Electronic
ISBN : 3031212339

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Applications in Reliability and Statistical Computing by Hoang Pham Pdf

This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.

Reliability and Statistical Computing

Anonim
Reliability and Statistical Computing Book PDF

Author : Anonim
Publisher : Unknown
Page : 325 pages
File Size : 43,8 Mb
Release : 2020
Category : Computer systems
ISBN : 3030434133

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Reliability and Statistical Computing by Anonim Pdf

This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.

Reliability and Statistical Computing

Hoang Pham
Reliability and Statistical Computing Book PDF

Author : Hoang Pham
Publisher : Springer Nature
Page : 325 pages
File Size : 53,9 Mb
Release : 2020-03-28
Category : Technology & Engineering
ISBN : 9783030434120

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Reliability and Statistical Computing by Hoang Pham Pdf

This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.

Applications in Reliability and Statistical Computing

Hoang Pham
Applications in Reliability and Statistical Computing Book PDF

Author : Hoang Pham
Publisher : Springer Nature
Page : 310 pages
File Size : 47,5 Mb
Release : 2023-02-15
Category : Technology & Engineering
ISBN : 9783031212321

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Applications in Reliability and Statistical Computing by Hoang Pham Pdf

This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.

Statistical Reliability Engineering

Hoang Pham
Statistical Reliability Engineering Book PDF

Author : Hoang Pham
Publisher : Springer Nature
Page : 497 pages
File Size : 50,7 Mb
Release : 2021-08-13
Category : Technology & Engineering
ISBN : 9783030769048

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Statistical Reliability Engineering by Hoang Pham Pdf

This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author’s recent research and publications as well as experience of over 30 years in this field. The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

Kishor S. Trivedi
Probability and Statistics with Reliability Queuing and Computer Science Applications Book PDF

Author : Kishor S. Trivedi
Publisher : John Wiley & Sons
Page : 880 pages
File Size : 51,9 Mb
Release : 2016-06-30
Category : Computers
ISBN : 9781119314202

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications by Kishor S. Trivedi Pdf

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Mathematical and Statistical Models and Methods in Reliability

V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Mathematical and Statistical Models and Methods in Reliability Book PDF

Author : V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 40,5 Mb
Release : 2010-11-02
Category : Technology & Engineering
ISBN : 9780817649715

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N. Balakrishnan,M.S. Nikulin Pdf

The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Statistical Methods for Reliability Data

William Q. Meeker,Luis A. Escobar,Francis G. Pascual
Statistical Methods for Reliability Data Book PDF

Author : William Q. Meeker,Luis A. Escobar,Francis G. Pascual
Publisher : John Wiley & Sons
Page : 708 pages
File Size : 41,8 Mb
Release : 2022-01-24
Category : Technology & Engineering
ISBN : 9781118594483

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Statistical Methods for Reliability Data by William Q. Meeker,Luis A. Escobar,Francis G. Pascual Pdf

An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data. SMRD2 features: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.

PROBABILITY AND STATISTICS WITH RELIABILITY, QUEUING, AND COMPUTER SCIENCE APPLICATIONS

KISHOR SHRIDHARBHAI TRIVEDI
PROBABILITY AND STATISTICS WITH RELIABILITY QUEUING AND COMPUTER SCIENCE APPLICATIONS Book PDF

Author : KISHOR SHRIDHARBHAI TRIVEDI
Publisher : PHI Learning Pvt. Ltd.
Page : 646 pages
File Size : 43,6 Mb
Release : 1988-01-01
Category : Mathematics
ISBN : 8120305086

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PROBABILITY AND STATISTICS WITH RELIABILITY, QUEUING, AND COMPUTER SCIENCE APPLICATIONS by KISHOR SHRIDHARBHAI TRIVEDI Pdf

This book provides an introduction to probability, stochastic processes, and statistics for students of computer science, electrical/computer engineering, reliability engineering and applied mathematics. It prepares the student for solving practical stochastic modelling problems, and for the more advanced courses on queuing or reliability theory. The text emphasizes on applications, illustrating each theoretical concept by solved examples relating to algorithm analysis or communication related problems.The prerequisites are a knowledge of calculus, a course on introduction to computer programming, and an understanding of computer organization. The book is also suitable for self-study by computer professionals and mathematicians interested in applications.

Mathematical and Statistical Models and Methods in Reliability

V.V. Rykov,N Balakrishnan,M.S. Nikulin
Mathematical and Statistical Models and Methods in Reliability Book PDF

Author : V.V. Rykov,N Balakrishnan,M.S. Nikulin
Publisher : Birkhäuser
Page : 457 pages
File Size : 54,9 Mb
Release : 2011-03-04
Category : Technology & Engineering
ISBN : 0817649727

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N Balakrishnan,M.S. Nikulin Pdf

The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Statistical Reliability Engineering

Hoang Pham
Statistical Reliability Engineering Book PDF

Author : Hoang Pham
Publisher : Unknown
Page : 0 pages
File Size : 41,6 Mb
Release : 2022
Category : Electronic
ISBN : 3030769054

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Statistical Reliability Engineering by Hoang Pham Pdf

This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field. The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.

Reliability Modeling With Computer And Maintenance Applications

Nakamura Syouji,Qian Cun Hua,Nakagawa Toshio
Reliability Modeling With Computer And Maintenance Applications Book PDF

Author : Nakamura Syouji,Qian Cun Hua,Nakagawa Toshio
Publisher : #N/A
Page : 396 pages
File Size : 40,6 Mb
Release : 2017-06-07
Category : Technology & Engineering
ISBN : 9789813224513

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Reliability Modeling With Computer And Maintenance Applications by Nakamura Syouji,Qian Cun Hua,Nakagawa Toshio Pdf

The development of Reliability and Maintenance theory and applications has become major concerns of engineers and managers engaged in order to design and product systems that are highly reliable. This book aims to cover the ongoing research topics in computer system, reliability analysis, reliability applications and maintenance policies, so as to provide awareness for those who engage systems design, being students, technicians, or research engineers, as a reference guidebook.

Statistical Reliability Engineering

Boris Gnedenko,Igor V. Pavlov,Igor A. Ushakov
Statistical Reliability Engineering Book PDF

Author : Boris Gnedenko,Igor V. Pavlov,Igor A. Ushakov
Publisher : John Wiley & Sons
Page : 524 pages
File Size : 55,7 Mb
Release : 1999-05-03
Category : Technology & Engineering
ISBN : 0471123560

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Statistical Reliability Engineering by Boris Gnedenko,Igor V. Pavlov,Igor A. Ushakov Pdf

Die Zuverlassigkeitsanalyse soll absichern, da? alle Komponenten eines Systems oder Produkts die Anforderungen an Funktionstuchtigkeit, -umfang und Budget erfullen. Alle wichtigen mathematischen Methoden, die in diesem Zusammenhang verwendet werden, stellt in diesem Buch einer der fuhrenden Spezialisten dieses Gebietes vor. Mit vielen realitatsnahen Beispielen und Fallstudien. (05/99)

Software Fault Detection and Correction: Modeling and Applications

Rui Peng,Yan-Fu Li,Yu Liu
Software Fault Detection and Correction Modeling and Applications Book PDF

Author : Rui Peng,Yan-Fu Li,Yu Liu
Publisher : Springer
Page : 108 pages
File Size : 50,7 Mb
Release : 2018-11-01
Category : Computers
ISBN : 9789811311628

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Software Fault Detection and Correction: Modeling and Applications by Rui Peng,Yan-Fu Li,Yu Liu Pdf

This book focuses on software fault detection and correction processes, presenting 5 different paired models introduced over the last decade and discussing their applications, in particular to determining software release time. The first work incorporates the testing effort function and the fault introduction process into the paired fault detection and fault correction models. The second work incorporates fault dependency, while the third adopts a Markov approach for studying fault detection and correction processes. The fourth work considers the multi-release property of various software, and models fault detection and correction processes. The last work classifies faults into four types and models the fault-detection and correction processes. Enabling readers to familiarize themselves with how software reliability can be modeled when different factors need to be considered, and how the approaches can be used to analyze other systems, the book is important reference guide for researchers in the field of software reliability engineering and practitioners working on software projects. To gain the most from the book, readers should have a firm grasp of the fundamentals of the stochastic process.

Modern Statistical And Mathematical Methods In Reliability

Sallie Keller-mcnulty,Alyson Wilson,Yvonne M Armijo,Nikolaos Limnios
Modern Statistical And Mathematical Methods In Reliability Book PDF

Author : Sallie Keller-mcnulty,Alyson Wilson,Yvonne M Armijo,Nikolaos Limnios
Publisher : World Scientific
Page : 428 pages
File Size : 49,8 Mb
Release : 2005-10-03
Category : Mathematics
ISBN : 9789814480253

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Modern Statistical And Mathematical Methods In Reliability by Sallie Keller-mcnulty,Alyson Wilson,Yvonne M Armijo,Nikolaos Limnios Pdf

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.