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Using The Weibull Distribution


Using The Weibull Distribution
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Using The Weibull Distribution


Using The Weibull Distribution
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Author : John I. McCool
language : en
Publisher: John Wiley & Sons
Release Date : 2012-08-06

Using The Weibull Distribution written by John I. McCool and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-06 with Technology & Engineering categories.


Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self-contained presentation of the probabilistic basis for the methodology while providing powerful techniques for extracting information from data. The author explains the use of the Weibull distribution and its statistical and probabilistic basis, providing a wealth of material that is not available in the current literature. The book begins by outlining the fundamental probability and statistical concepts that serve as a foundation for subsequent topics of coverage, including: • Optimum burn-in, age and block replacement, warranties and renewal theory • Exact inference in Weibull regression • Goodness of fit testing and distinguishing the Weibull from the lognormal • Inference for the Three Parameter Weibull Throughout the book, a wealth of real-world examples showcases the discussed topics and each chapter concludes with a set of exercises, allowing readers to test their understanding of the presented material. In addition, a related website features the author's own software for implementing the discussed analyses along with a set of modules written in Mathcad®, and additional graphical interface software for performing simulations. With its numerous hands-on examples, exercises, and software applications, Using the Weibull Distribution is an excellent book for courses on quality control and reliability engineering at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for engineers, scientists, and business analysts who gather and interpret data that follows the Weibull distribution



Using The Weibull Distribution


Using The Weibull Distribution
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Author : John I. McCool
language : en
Publisher: John Wiley & Sons
Release Date : 2012-08-28

Using The Weibull Distribution written by John I. McCool and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-28 with Technology & Engineering categories.


Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self-contained presentation of the probabilistic basis for the methodology while providing powerful techniques for extracting information from data. The author explains the use of the Weibull distribution and its statistical and probabilistic basis, providing a wealth of material that is not available in the current literature. The book begins by outlining the fundamental probability and statistical concepts that serve as a foundation for subsequent topics of coverage, including: • Optimum burn-in, age and block replacement, warranties and renewal theory • Exact inference in Weibull regression • Goodness of fit testing and distinguishing the Weibull from the lognormal • Inference for the Three Parameter Weibull Throughout the book, a wealth of real-world examples showcases the discussed topics and each chapter concludes with a set of exercises, allowing readers to test their understanding of the presented material. In addition, a related website features the author's own software for implementing the discussed analyses along with a set of modules written in Mathcad®, and additional graphical interface software for performing simulations. With its numerous hands-on examples, exercises, and software applications, Using the Weibull Distribution is an excellent book for courses on quality control and reliability engineering at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for engineers, scientists, and business analysts who gather and interpret data that follows the Weibull distribution



The Weibull Distribution


The Weibull Distribution
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Author : Horst Rinne
language : en
Publisher: CRC Press
Release Date : 2008-11-20

The Weibull Distribution written by Horst Rinne and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-20 with Business & Economics categories.


The Most Comprehensive Book on the SubjectChronicles the Development of the Weibull Distribution in Statistical Theory and Applied StatisticsExploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions. The book also presents various ap



Weibull Models


Weibull Models
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Author : D. N. Prabhakar Murthy
language : en
Publisher: John Wiley & Sons
Release Date : 2004-01-28

Weibull Models written by D. N. Prabhakar Murthy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-28 with Mathematics categories.


A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, andscattered across many different journals. Weibull Models is acomprehensive guide that integrates all the different facets ofWeibull models in a single volume. This book will be of great help to practitioners in reliabilityand other disciplines in the context of modeling data sets usingWeibull models. For researchers interested in these modelingtechniques, exercises at the end of each chapter define potentialtopics for future research. Organized into seven distinct parts, Weibull Models: * Covers model analysis, parameter estimation, model validation,and application * Serves as both a handbook and a research monograph. As ahandbook, it classifies the different models and presents theirproperties. As a research monograph, it unifies the literature andpresents the results in an integrated manner * Intertwines theory and application * Focuses on model identification prior to model parameterestimation * Discusses the usefulness of the Weibull Probability plot (WPP)in the model selection to model a given data set * Highlights the use of Weibull models in reliability theory Filled with in-depth analysis, Weibull Models pulls together themost relevant information on this topic to give everyone fromreliability engineers to applied statisticians involved withreliability and survival analysis a clear look at what Weibullmodels can offer.



Software For Statistical Analysis Of Weibull Distributions With Application To Gear Fatigue Data User Manual With Verification


Software For Statistical Analysis Of Weibull Distributions With Application To Gear Fatigue Data User Manual With Verification
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Author :
language : en
Publisher:
Release Date : 2002

Software For Statistical Analysis Of Weibull Distributions With Application To Gear Fatigue Data User Manual With Verification written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.


The Weibull distribution has been widely adopted for the statistical description and inference of fatigue data. This document provides user instructions, examples, and verification for software to analyze gear fatigue test data. The software was developed presuming the data are adequately modeled using a two-parameter Weibull distribution. The calculations are based on likelihood methods, and the approach taken is valid for data that include type I censoring. The software was verified by reproducing results published by others.



Testing Of Grouped Product For The Weibull Distribution Using Neutrosophic Statistics


Testing Of Grouped Product For The Weibull Distribution Using Neutrosophic Statistics
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Testing Of Grouped Product For The Weibull Distribution Using Neutrosophic Statistics written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Parts manufacturers use sudden death testing to reduce the testing time of experiments. The sudden death testing plan in the literature can only be applied when all observations of failure time/parameters are crisp. In practice however, it is noted that not all measurements of continuous variables are precise. Therefore, the existing sudden death test plan can be applied if failure data/or parameters are imprecise, incomplete, and fuzzy.



A New Sequential Goodness Of Fit Test For The Three Parameter Weibull Distribution With Known Shape Parameter Value Based On Skewness And Q Statis G O F Test Statistics


A New Sequential Goodness Of Fit Test For The Three Parameter Weibull Distribution With Known Shape Parameter Value Based On Skewness And Q Statis G O F Test Statistics
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Author : Tibet Memis
language : en
Publisher:
Release Date : 1999-03-01

A New Sequential Goodness Of Fit Test For The Three Parameter Weibull Distribution With Known Shape Parameter Value Based On Skewness And Q Statis G O F Test Statistics written by Tibet Memis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-01 with categories.


Due to its flexibility, the Weibull distribution has very wide applicability in a lot of disciplines and is very prevalent in reliability theory. Thus, a lot of statistical tests that generally have a substantial degree of computional complexity have been developed to determine if the data at hand can be represented with this distribution. This research presents a new omnibus goodness-of-fit test (G.O.F.) that has less computational complexity than the existing tests for the three-parameter Weibull distribution using a sequential application of two individual tests, sample skewness and Q-Statistic. A Monte Carlo procedure has been employed to generate critical values for the skewness and Q-Statistic (G.O.F.) tests for various Weibull distributions with specified shape parameter values. Additionally, tables or charts of attained significance levels for the new sequential G.O.F. test procedure have been generated. Using the critical values and significance levels, a sequential G.O. F. test procedure can be used to determine if the given sample data agrees with a hypothesized Weibull distribution with known shape. A power study has been conducted against a variety of alternative hypotheses, and the results were compared with those obtained using conventional EDF type Cramer-von Mises, Ahderson-Darling and Kolmogorov-Smimov G.O.F tests, and the sequential procedure by Clough. Since the sequential test demonstrates better or equivalent power, it serves to significantly reduce the computational requirements for powerful G.O. F. testing.



The Weibull Analysis Handbook


The Weibull Analysis Handbook
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Author : Bryan Dodson
language : en
Publisher:
Release Date : 2006

The Weibull Analysis Handbook written by Bryan Dodson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with CD-ROMs categories.


"This book provides practitioners with the tools necessary to utilize the Weibull distribution for modeling, analysis, and problem solving. The underlying theme of keeping the presentations simple was followed throughout the book, thus a minimum of mathematical theory is presented, and step-by-step examples are used to illustrate each technique. Practitioners will find easy-to-follow road maps guiding them through every step of an analysis."--BOOK JACKET.



Generalized Weibull Distributions


Generalized Weibull Distributions
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Author : Chin-Diew Lai
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-17

Generalized Weibull Distributions written by Chin-Diew Lai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-17 with Mathematics categories.


The Weibull distribution has been one of the most cited lifetime distributions in reliability engineering. Over the last decade, many generalizations and extensions of the Weibull have been proposed in order to provide more flexibility than the traditional version when it comes to modeling lifetime data in diverse fields. This book offers an update on these developments, presenting the essential properties of each model. Several plots of density and hazard rate functions are also included, and a brief outline of known application(s) for each model is also given. ​



Testing Average Wind Speed Using Sampling Plan For Weibull Distribution Under Indeterminacy


Testing Average Wind Speed Using Sampling Plan For Weibull Distribution Under Indeterminacy
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Testing Average Wind Speed Using Sampling Plan For Weibull Distribution Under Indeterminacy written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The time truncated plan for the Weibull distribution under the indeterminacy is presented. The plan parameters of the proposed plan are determined by fixing the indeterminacy parameter. The plan parameters are given for various values of indeterminacy parameters. From the results, it can be concluded that the values of sample size reduce as indeterminacy values increase. The application of the proposed plan is given using wind speed data. From the wind speed example, it is concluded that the proposed plan is helpful to test the average wind speed at smaller values of sample size as compared to existing sampling plan.