Reliability Data Analysis with Excel and Minitab

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Author :
Publisher : Quality Press
ISBN 13 : 1636940455
Total Pages : 360 pages
Book Rating : 4.6/5 (369 download)

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Book Synopsis Reliability Data Analysis with Excel and Minitab by : Kenneth S. Stephens

Download or read book Reliability Data Analysis with Excel and Minitab written by Kenneth S. Stephens and published by Quality Press. This book was released on 2011-08-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many reliability engineers are gainfully employed in considerations of the physical nature of components and systems-bringing to bear theories and methodologies of physics, electronics, mechanics, material science, chemistry, and so on. But when a product has been designed and manufactured, its performance in terms of durability, strength, and life become a matter of test, measurement, and analysis. Statistical theories and methodologies provide a large number of analytical tools to assist the reliability engineer in studying the performance of products and the fruits of the physical considerations, even revealing further improvements that can be made in the physical properties. Hence, reliability is a multidisciplined field of endeavor. Statistical theories and methodologies allow estimation of important characteristics as well as levels of confidence or assurance (or lack thereof) with respect to the estimations. They also provide direction in actions necessary to improve estimates and confidence levels if results are too variable to render important decisions. Some derivations are contained in this text, but the approach here is meant to be more practical, in following each topic introduced and expanded with examples. On each topic covered, reasonably practical examples are used to illustrate and demonstrate the procedures introduced and discussed. For all of these examples either Excel files or Minitab files or both have been prepared (available from Quality Press). They can be readily accessed and opened directly in their respective software packages to permit the preparation of new files specifically for use by the reader. "This book provides a much-needed theoretical text to aid advanced reliability engineering data analysis. Applications using Excel and Minitab support a broad span of probability applications for reliability data analysts. I most strongly recommend this book for seasoned Six Sigma Black Belts or statisticians who must support Design for Six Sigma applications for new product development projects. It's rich in food for thought as well as providing a most nourishing banquet for consumption by engineers --- it is not for light reading as a snack, but it must be consumed as a seven-course meal!" Gregory H. Watson Chairman, International Academy for Quality ASQ Past-President and Fellow

Reliability Analysis with Minitab

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Author :
Publisher : CRC Press
ISBN 13 : 1498737676
Total Pages : 188 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Reliability Analysis with Minitab by : Kishore Kumar Pochampally

Download or read book Reliability Analysis with Minitab written by Kishore Kumar Pochampally and published by CRC Press. This book was released on 2016-03-23 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis for the Reliability Engineering ProfessionalEffectively conduct reliability analysis using the world's leading statistical software. Reliability Analysis with Minitab outlines statistical concepts and applications, explains the theory of probability, reliability analysis, and quality improvement, and provides step-by-step instr

Reliability Analysis Using MINITAB and Python

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119870763
Total Pages : 246 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Reliability Analysis Using MINITAB and Python by : Jaejin Hwang

Download or read book Reliability Analysis Using MINITAB and Python written by Jaejin Hwang and published by John Wiley & Sons. This book was released on 2023-01-05 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete overview of the theory and fundamentals of Reliability Analysis applied with Minitab and Python tools Reliability Analysis Using Minitab and Python expertly applies Minitab and Python programs to the field of reliability engineering, presenting basic concepts and explaining step-by-step how to implement statistical distributions and reliability analysis methods using the two programming languages. The textbook enables readers to effectively use software to efficiently process massive amounts of data while also reducing human error. Examples and case studies as well as exercise and questions are included throughout to enable a smooth learning experience. Excel files containing the sample data and Minitab and Python example files are also provided. Students who have basic knowledge of probability and statistics will find this textbook highly approachable. Nonetheless, it also covers material on basic statistics at the beginning, so students who are not familiar with statistics can follow the material as well. Written by a highly qualified author in the field, sample topics covered in Reliability Analysis Using Minitab and Python include: Establishing a basic statistical background, with a focus on probability, joint probability, union probability, conditional probability, mutually exclusive events, and bayes’ rule Statistical distributions, with a focus on discrete cases, continuous cases, exponential distribution, Weibull distribution, normal distribution, and lognormal distribution Reliability data plotting, with a focus on straight line properties, least squares fit, linear rectification, exact failure times, and readout failure data Accelerated life testing, with a focus on accelerated testing theory, exponential distribution acceleration, and Weibull distribution acceleration System failure modeling, with a focus on reliability block diagram, series syste model, parallel system model, k-out-of-n system model, and minimal paths and minimal cuts. Repairable systems, with a focus on corrective and preventive maintenances, availability, maintainability, and preventive maintenance scheduling. Reliability Analysis Using Minitab and Python serves as an excellent introductory level textbook on the topic for both undergraduate and graduate students. It presents information clearly and concisely and includes many helpful additional learning resources to aid in understanding of concepts, information retention, and practical application.

Introduction to Reliability Engineering

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119640563
Total Pages : 644 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Introduction to Reliability Engineering by : James E. Breneman

Download or read book Introduction to Reliability Engineering written by James E. Breneman and published by John Wiley & Sons. This book was released on 2022-04-26 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Reliability Engineering A complete revision of the classic text on reliability engineering, written by an expanded author team with increased industry perspective Introduction to Reliability Engineering provides a thorough and well-balanced overview of the fundamental aspects of reliability engineering and describes the role of probability and statistical analysis in predicting and evaluating reliability in a range of engineering applications. Covering both foundational theory and real-world practice, this classic textbook helps students of any engineering discipline understand key probability concepts, random variables and their use in reliability, Weibull analysis, system safety analysis, reliability and environmental stress testing, redundancy, failure interactions, and more. Extensively revised to meet the needs of today’s students, the Third Edition fully reflects current industrial practices and provides a wealth of new examples and problems that now require the use of statistical software for both simulation and analysis of data. A brand-new chapter examines Failure Modes and Effects Analysis (FMEA) and the Reliability Testing chapter has been greatly expanded, while new and expanded sections cover topics such as applied probability, probability plotting with software, the Monte Carlo simulation, and reliability and safety risk. Throughout the text, increased emphasis is placed on the Weibull distribution and its use in reliability engineering. Presenting students with an interdisciplinary perspective on reliability engineering, this textbook: Presents a clear and accessible introduction to reliability engineering that assumes no prior background knowledge of statistics and probability Teaches students how to solve problems involving reliability data analysis using software including Minitab and Excel Features new and updated examples, exercises, and problems sets drawn from a variety of engineering fields Includes several useful appendices, worked examples, answers to selected exercises, and a companion website Introduction to Reliability Engineering, Third Edition remains the perfect textbook for both advanced undergraduate and graduate students in all areas of engineering and manufacturing technology.

Practical Reliability Data Analysis for Non-Reliability Engineers

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Author :
Publisher : Artech House
ISBN 13 : 1630818283
Total Pages : 203 pages
Book Rating : 4.6/5 (38 download)

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Book Synopsis Practical Reliability Data Analysis for Non-Reliability Engineers by : Darcy Brooker

Download or read book Practical Reliability Data Analysis for Non-Reliability Engineers written by Darcy Brooker and published by Artech House. This book was released on 2020-11-30 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical resource presents basic probabilistic and statistical methods or tools used to extract the information from reliability data to make sound decisions. It consolidates and condenses the reliability data analysis methods most often used in everyday practice into an easy-to-follow guide, while also providing a solid foundation from which to explore more complex methods if desired. The book provides mathematical and Excel spreadsheet formulas to estimate parameters and confidence bounds (uncertainty) for the most common probability distributions used in reliability analysis. Several other Excel tools are provided to aid users without access to expensive, dedicated, commercial tools. This book and tools were developed by the authors after many years of teaching the fundamentals of reliability data analysis to a broad range of technical and non-technical military and civilian personnel, making it useful for both novice and experienced engineers.

Applied Reliability, Third Edition

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Author :
Publisher : CRC Press
ISBN 13 : 1584884665
Total Pages : 602 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Applied Reliability, Third Edition by : Paul A. Tobias

Download or read book Applied Reliability, Third Edition written by Paul A. Tobias and published by CRC Press. This book was released on 2011-08-26 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well-chosen clicks of a mouse. However, software documentation has had difficulty keeping up with the enhanced functionality added to new releases, especially in specialized areas such as reliability analysis. Using analysis capabilities in spreadsheet software and two well-maintained, supported, and frequently updated, popular software packages—Minitab and SAS JMP—the third edition of Applied Reliability is an easy-to-use guide to basic descriptive statistics, reliability concepts, and the properties of lifetime distributions such as the exponential, Weibull, and lognormal. The material covers reliability data plotting, acceleration models, life test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling. Taking a practical and example-oriented approach to reliability analysis, this book provides detailed illustrations of software implementation throughout and more than 150 worked-out examples done with JMP, Minitab, and several spreadsheet programs. In addition, there are nearly 300 figures, hundreds of exercises, and additional problems at the end of each chapter, and new material throughout. Software and other files are available for download online

Reliability Analysis Using MINITAB and Python

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 111987078X
Total Pages : 246 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Reliability Analysis Using MINITAB and Python by : Jaejin Hwang

Download or read book Reliability Analysis Using MINITAB and Python written by Jaejin Hwang and published by John Wiley & Sons. This book was released on 2022-10-26 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliability Analysis Using MINITAB and Python Complete overview of the theory and fundamentals of Reliability Analysis applied with Minitab and Python tools Reliability Analysis Using Minitab and Python expertly applies Minitab and Python programs to the field of reliability engineering, presenting basic concepts and explaining step-by-step how to implement statistical distributions and reliability analysis methods using the two programming languages. The textbook enables readers to effectively use software to efficiently process massive amounts of data while also reducing human error. Examples and case studies as well as exercises and questions are included throughout to enable a smooth learning experience. Excel files containing the sample data and Minitab and Python example files are also provided. Students who have basic knowledge of probability and statistics will find this textbook highly approachable. Nonetheless, it also covers material on basic statistics at the beginning, so students who are not familiar with statistics can follow the material as well. Written by a highly qualified author in the field, sample topics covered in Reliability Analysis Using Minitab and Python include: Establishing a basic statistical background, with a focus on probability, joint probability, union probability, conditional probability, mutually exclusive events, and bayes’ rule Statistical distributions, with a focus on discrete cases, continuous cases, exponential distribution, Weibull distribution, normal distribution, and lognormal distribution Reliability data plotting, with a focus on straight line properties, least squares fit, linear rectification, exact failure times, and readout failure data Accelerated life testing, with a focus on accelerated testing theory, exponential distribution acceleration, and Weibull distribution acceleration System failure modeling, with a focus on reliability block diagram, series system model, parallel system model, k-out-of-n system model, and minimal paths and minimal cuts. Repairable systems, with a focus on corrective and preventive maintenances, availability, maintainability, and preventive maintenance scheduling Reliability Analysis Using Minitab and Python serves as an excellent introductory level textbook on the topic for both undergraduate and graduate students. It presents information clearly and concisely and includes many helpful additional learning resources to aid in understanding of concepts, information retention, and practical application.

Statistics and Probability with Applications for Engineers and Scientists

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118522206
Total Pages : 898 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Statistics and Probability with Applications for Engineers and Scientists by : Bhisham C Gupta

Download or read book Statistics and Probability with Applications for Engineers and Scientists written by Bhisham C Gupta and published by John Wiley & Sons. This book was released on 2014-03-06 with total page 898 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119516633
Total Pages : 1040 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP by : Bhisham C. Gupta

Download or read book Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP written by Bhisham C. Gupta and published by John Wiley & Sons. This book was released on 2020-02-05 with total page 1040 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining—including big data, classification, machine learning, and visualization—is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering. The book also offers a chapter on Response Surfaces that previously appeared on the book’s companion website. Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition is broken into two parts. Part I covers topics such as: describing data graphically and numerically, elements of probability, discrete and continuous random variables and their probability distributions, distribution functions of random variables, sampling distributions, estimation of population parameters and hypothesis testing. Part II covers: elements of reliability theory, data mining, cluster analysis, analysis of categorical data, nonparametric tests, simple and multiple linear regression analysis, analysis of variance, factorial designs, response surfaces, and statistical quality control (SQC) including phase I and phase II control charts. The appendices contain statistical tables and charts and answers to selected problems. Features two new chapters—one on Data Mining and another on Cluster Analysis Now contains R exhibits including code, graphical display, and some results MINITAB and JMP have been updated to their latest versions Emphasizes the p-value approach and includes related practical interpretations Offers a more applied statistical focus, and features modified examples to better exhibit statistical concepts Supplemented with an Instructor's-only solutions manual on a book’s companion website Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction to applied statistics and probability for undergraduate students in engineering and the natural sciences.

Applied Reliability

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Author :
Publisher : CRC Press
ISBN 13 : 1439897247
Total Pages : 602 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Applied Reliability by : Paul A. Tobias

Download or read book Applied Reliability written by Paul A. Tobias and published by CRC Press. This book was released on 2011-08-26 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well

Reliability Verification, Testing, and Analysis in Engineering Design

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Author :
Publisher : CRC Press
ISBN 13 : 9780203910443
Total Pages : 418 pages
Book Rating : 4.9/5 (14 download)

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Book Synopsis Reliability Verification, Testing, and Analysis in Engineering Design by : Gary Wasserman

Download or read book Reliability Verification, Testing, and Analysis in Engineering Design written by Gary Wasserman and published by CRC Press. This book was released on 2002-11-27 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Striking a balance between the use of computer-aided engineering practices and classical life testing, this reference expounds on current theory and methods for designing reliability tests and analyzing resultant data through various examples using Microsoft® Excel, MINITAB, WinSMITH, and ReliaSoft software across multiple industries. The book disc

Reliability Modelling

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Publisher : CRC Press
ISBN 13 : 9781584880141
Total Pages : 276 pages
Book Rating : 4.8/5 (81 download)

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Book Synopsis Reliability Modelling by : Linda C. Wolstenholme

Download or read book Reliability Modelling written by Linda C. Wolstenholme and published by CRC Press. This book was released on 1999-06-25 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of modelling, from the basics through advanced modelling techniques. The book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non-repairable unit. Assuming no prior knowledge of the subject, the author includes a guide to all the fundamentals of probability theory, defines the various measures associated with reliability, then describes and discusses the more common lifetime models: the exponential, Weibull, normal, lognormal and gamma distributions. She concludes the groundwork by looking at ways of choosing and fitting the most appropriate model to a given data set, paying particular attention to two critical points: the effect of censored data and estimating lifetimes in the tail of the distribution. The focus then shifts to topics somewhat more difficult: the difference in the analysis of lifetimes for repairable versus non-repairable systems and whether repair truly "renews" the system methods for dealing with system with reliability characteristic specified for more than one component or subsystem the effect of different types of maintenance strategies the analysis of life test data The final chapter provides snapshot introductions to a range of advanced models and presents two case studies that illustrate various ideas from throughout the book.

Statistical Applications for Environmental Analysis and Risk Assessment

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Publisher : John Wiley & Sons
ISBN 13 : 1118634535
Total Pages : 656 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Statistical Applications for Environmental Analysis and Risk Assessment by : Joseph Ofungwu

Download or read book Statistical Applications for Environmental Analysis and Risk Assessment written by Joseph Ofungwu and published by John Wiley & Sons. This book was released on 2014-05-27 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary. Featuring numerous worked examples using actual data and “ready-made” software scripts, Statistical Applications for Environmental Analysis and Risk Assessment also includes: • Descriptions of basic statistical concepts and principles in an informal style that does not presume prior familiarity with the subject • Detailed illustrations of statistical applications in the environmental and related water resources fields using real-world data in the contexts that would typically be encountered by practitioners • Software scripts using the high-powered statistical software system, R, and supplemented by USEPA’s ProUCL and USDOE’s VSP software packages, which are all freely available • Coverage of frequent data sample issues such as non-detects, outliers, skewness, sustained and cyclical trend that habitually plague environmental data samples • Clear demonstrations of the crucial, but often overlooked, role of statistics in environmental sampling design and subsequent exposure risk assessment.

Practical Engineering, Process, and Reliability Statistics

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Author :
Publisher : Quality Press
ISBN 13 : 0873898893
Total Pages : 278 pages
Book Rating : 4.8/5 (738 download)

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Book Synopsis Practical Engineering, Process, and Reliability Statistics by : Mark Allen Durivage

Download or read book Practical Engineering, Process, and Reliability Statistics written by Mark Allen Durivage and published by Quality Press. This book was released on 2014-10-27 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written to aid quality technicians and engineers. It is a compilation of 30 years of quality-related work experience and the result of frustration at the number of books necessary, at times, to provide statistical support. To that end, the intent of this book is to provide the quality professional working in virtually any industry a quick, convenient, and comprehensive guide to properly utilize statistics in an efficient and effective manner. This book will be a useful reference when preparing for and taking many of the ASQ quality certification examinations, including the Certified Quality Technician (CQT), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), and Certified Reliability Engineer (CRE). This book is an expansion of the work of Robert A. Dovich in his books Quality Engineering Statistics and Reliability Statistics. It builds on and expands Dovich's method of presenting statistical applications in a simple, easy-to-follow format.

Proceedings of the Section on Statistical Education

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Author :
Publisher :
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Proceedings of the Section on Statistical Education by : American Statistical Association. Section on Statistical Education

Download or read book Proceedings of the Section on Statistical Education written by American Statistical Association. Section on Statistical Education and published by . This book was released on 2000 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118789768
Total Pages : 449 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists by : Bhisham C. Gupta

Download or read book Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists written by Bhisham C. Gupta and published by John Wiley & Sons. This book was released on 2013-10-11 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: A solutions manual to accompany Statistics and Probability with Applications for Engineers and Scientists Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Warranty Data Collection and Analysis

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0857296477
Total Pages : 594 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Warranty Data Collection and Analysis by : Wallace R. Blischke

Download or read book Warranty Data Collection and Analysis written by Wallace R. Blischke and published by Springer Science & Business Media. This book was released on 2011-07-28 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Warranty Data Collection and Analysis deals with warranty data collection and analysis and the problems associated with these activities. The book is a both a research monograph and a handbook for practitioners. As a research monograph, it unifies the literature on warranty data collection and analysis, and presents the important results in an integrated manner. In the process, it highlights topics that require further research. As a handbook, it provides the essential methodology needed by practitioners involved with warranty data collection and analysis, along with extensive references to further results. Models and techniques needed for proper and effective analysis of data are included, together with guidelines for their use in warranty management, product improvement, and new product development. Warranty Data Collection and Analysis will be of interest to researchers (engineers and statisticians) and practitioners (engineers, applied statisticians, and managers) involved with product warranty and reliability. It is also suitable for use as a reference text for graduate-level reliability programs in engineering, applied statistics, operations research, and management.