Reliability Analysis Using Minitab And Python

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Reliability Analysis Using MINITAB and Python

Author : Jaejin Hwang
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.

Reliability Analysis with Minitab

Author : Kishore Kumar Pochampally
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 Data Analysis with Excel and Minitab

Author : Kenneth S. Stephens
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

Applied Reliability, Third Edition

Author : Paul A. Tobias
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

Mathematical and Statistical Methods in Reliability

Author : Bo Lindqvist
Publisher : World Scientific
ISBN 13 : 9812383212
Total Pages : 569 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Mathematical and Statistical Methods in Reliability by : Bo Lindqvist

Download or read book Mathematical and Statistical Methods in Reliability written by Bo Lindqvist and published by World Scientific. This book was released on 2003 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains extended versions of carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Norway in 2002. It provides an overview of current research activities in reliability theory. The authors are all leading experts in the field. Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research.

Intelligent Reliability Analysis Using MATLAB and AI

Author : Dr. Cherry Bhargava
Publisher : BPB Publications
ISBN 13 : 939068465X
Total Pages : 204 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Intelligent Reliability Analysis Using MATLAB and AI by : Dr. Cherry Bhargava

Download or read book Intelligent Reliability Analysis Using MATLAB and AI written by Dr. Cherry Bhargava and published by BPB Publications. This book was released on 2021-06-21 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to minimize the global problem of e-waste KEY FEATURES ● Explore core concepts of Reliability Analysis, various smart models, different electronic components, and practical use of MATLAB. ● Cutting edge coverage on building intelligent systems for reliability analysis. ● Includes numerous techniques and methods to identify failure and reliability parameters. DESCRIPTION Intelligent Reliability Analysis using MATLAB and AI explains a roadmap to analyze and predict various electronic components’ future life and performance reliability. Deeply narrated and authored by reliability experts, this book empowers the reader to deepen their understanding of reliability identification, its significance, preventive measures, and various techniques. The book teaches how to predict the residual lifetime of active and passive components using an interesting use case on electronic waste. The book will demonstrate how the capacity of re-usability of electronic components can benefit the consumer to reuse the same component, with the confidence of successful operations. It lists key attributes and ways to design experiments using Taguchi’s approach, based on various acceleration factors. This book makes it easier for readers to understand reliability modeling of active and passive components using the Artificial Neural Network, Fuzzy Logic, Adaptive Neuro-Fuzzy Inference System (ANFIS). The book keeps you engaged with a systematic and detailed explanation of step-wise MATLAB-based implementation of electronic components. These explanations and illustrations will help the readers to predict fault and failure well before time. WHAT YOU WILL LEARN ● Optimize various acceleration factors for exploring the residual life of components experimentally. ● Design an intelligent model to predict the upcoming faults and failures of electronic components and make provision for timely replacement of the fault components. ● Design experiments using Taguchi’s approach. ● Understand reliability modeling of active and passive components using the Artificial Neural Network and Fuzzy Logic. WHO THIS BOOK IS FOR This book is for current and aspiring emerging tech professionals, researchers, students, and anyone who wishes to understand and diagnose the product life of electronic components using the power of artificial intelligence and various experimental techniques. TABLE OF CONTENTS 1. RELIABILITY FUNDAMENTALS 2. RELIABILITY MEASURES 3. REMAINING USEFUL LIFETIME ESTIMATION TECHNIQUES 4. INTELLIGENT MODELS FOR RELIABILITY PREDICTION 5. ACCELERATED LIFE TESTING 6. EXPERIMENTAL TESTING OF ACTIVE AND PASSIVE COMPONENTS 7. INTELLIGENT MODELING FOR RELIABILITY ASSESSMENT USING MATLAB

Reliability Modelling

Author : Linda C. Wolstenholme
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.

Reliability and Survival Analysis

Author : Md. Rezaul Karim
Publisher : Springer
ISBN 13 : 9811397767
Total Pages : 252 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Reliability and Survival Analysis by : Md. Rezaul Karim

Download or read book Reliability and Survival Analysis written by Md. Rezaul Karim and published by Springer. This book was released on 2019-08-09 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis. These two types of analysis are widely used in many fields, including engineering, management, medicine, actuarial science, the environmental sciences, and the life sciences. Though there are a number of books on reliability analysis and a handful on survival analysis, there are virtually no books on both topics and their overlapping concepts. Offering an essential textbook, this book will benefit students, researchers, and practitioners in reliability and survival analysis, reliability engineering, biostatistics, and the biomedical sciences.

Reliability Analysis and Prediction

Author : K.B. Misra
Publisher : Elsevier
ISBN 13 : 0444598154
Total Pages : 907 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Reliability Analysis and Prediction by : K.B. Misra

Download or read book Reliability Analysis and Prediction written by K.B. Misra and published by Elsevier. This book was released on 2012-12-02 with total page 907 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book equips the reader with a compact information source on all the most recent methodological tools available in the area of reliability prediction and analysis. Topics covered include reliability mathematics, organisation and analysis of data, reliability modelling and system reliability evaluation techniques. Environmental factors and stresses are taken into account in computing the reliability of the involved components. The limitations of models, methods, procedures, algorithms and programmes are outlined. The treatment of maintained systems is designed to aid the worker in analysing systems with more realistic and practical assumptions. Fault tree analysis is also extensively discussed, incorporating recent developments. Examples and illustrations support the reader in the solving of problems in his own area of research. The chapters provide a logical and graded presentation of the subject matter bearing in mind the difficulties of a beginner, whilst bridging the information gap for the more experienced reader. The work will be of considerable interest to engineers working in various industries, research organizations, particularly in defence, nuclear, chemical, space or communications. It will also be an indispensable study aid for serious-minded students and teachers.

Quantile-Based Reliability Analysis

Author : N. Unnikrishnan Nair
Publisher : Springer Science & Business Media
ISBN 13 : 0817683615
Total Pages : 411 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Quantile-Based Reliability Analysis by : N. Unnikrishnan Nair

Download or read book Quantile-Based Reliability Analysis written by N. Unnikrishnan Nair and published by Springer Science & Business Media. This book was released on 2013-08-24 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a fresh approach to reliability theory, an area that has gained increasing relevance in fields from statistics and engineering to demography and insurance. Its innovative use of quantile functions gives an analysis of lifetime data that is generally simpler, more robust, and more accurate than the traditional methods, and opens the door for further research in a wide variety of fields involving statistical analysis. In addition, the book can be used to good effect in the classroom as a text for advanced undergraduate and graduate courses in Reliability and Statistics.

Industrial Statistics

Author : Ron S. Kenett
Publisher : Springer Nature
ISBN 13 : 3031284828
Total Pages : 486 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Industrial Statistics by : Ron S. Kenett

Download or read book Industrial Statistics written by Ron S. Kenett and published by Springer Nature. This book was released on 2023-06-16 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others. The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cyber manufacturing and digital twins. The text then goes on to cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Each chapter includes exercises, data sets, and applications to supplement learning. Industrial Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. In addition, it can be used in focused workshops combining theory, applications, and Python implementations. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included. A second, closely related textbook is titled Modern Statistics: A Computer-Based Approach with Python. It covers topics such as probability models and distribution functions, statistical inference and bootstrapping, time series analysis and predictions, and supervised and unsupervised learning. These texts can be used independently or for consecutive courses. The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/IndustrialStatistics/. "This book is part of an impressive and extensive write up enterprise (roughly 1,000 pages!) which led to two books published by Birkhäuser. This book is on Industrial Statistics, an area in which the authors are recognized as major experts. The book combines classical methods (never to be forgotten!) and "hot topics" like cyber manufacturing, digital twins, A/B testing and Bayesian reliability. It is written in a very accessible style, focusing not only on HOW the methods are used, but also on WHY. In particular, the use of Python, throughout the book is highly appreciated. Python is probably the most important programming language used in modern analytics. The authors are warmly thanked for providing such a state-of-the-art book. It provides a comprehensive illustration of methods and examples based on the authors longstanding experience, and accessible code for learning and reusing in classrooms and on-site applications." Professor Fabrizio RuggeriResearch Director at the National Research Council, ItalyPresident of the International Society for Business and Industrial Statistics (ISBIS)Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)

State-Of-The-Art Report Practical Statistical Analysis for the Reliability

Author : Reliability Analysis Center (U.S.).
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (138 download)

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Book Synopsis State-Of-The-Art Report Practical Statistical Analysis for the Reliability by : Reliability Analysis Center (U.S.).

Download or read book State-Of-The-Art Report Practical Statistical Analysis for the Reliability written by Reliability Analysis Center (U.S.). and published by . This book was released on 1983 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reliability Engineering and Risk Analysis

Author : Mohammad Modarres
Publisher : CRC Press
ISBN 13 : 1420008943
Total Pages : 472 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Reliability Engineering and Risk Analysis by : Mohammad Modarres

Download or read book Reliability Engineering and Risk Analysis written by Mohammad Modarres and published by CRC Press. This book was released on 2009-09-22 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tools to Proactively Predict Failure The prediction of failures involves uncertainty, and problems associated with failures are inherently probabilistic. Their solution requires optimal tools to analyze strength of evidence and understand failure events and processes to gauge confidence in a design’s reliability. Reliability Engineering and Risk Analysis: A Practical Guide, Second Edition has already introduced a generation of engineers to the practical methods and techniques used in reliability and risk studies applicable to numerous disciplines. Written for both practicing professionals and engineering students, this comprehensive overview of reliability and risk analysis techniques has been fully updated, expanded, and revised to meet current needs. It concentrates on reliability analysis of complex systems and their components and also presents basic risk analysis techniques. Since reliability analysis is a multi-disciplinary subject, the scope of this book applies to most engineering disciplines, and its content is primarily based on the materials used in undergraduate and graduate-level courses at the University of Maryland. This book has greatly benefited from its authors' industrial experience. It balances a mixture of basic theory and applications and presents a large number of examples to illustrate various technical subjects. A proven educational tool, this bestselling classic will serve anyone working on real-life failure analysis and prediction problems.

Practical Reliability Engineering with Minitabrelease for Windows Statistical Registration Cardset

Author : Patrick O'Connor
Publisher :
ISBN 13 : 9781119640080
Total Pages : 336 pages
Book Rating : 4.6/5 (4 download)

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Book Synopsis Practical Reliability Engineering with Minitabrelease for Windows Statistical Registration Cardset by : Patrick O'Connor

Download or read book Practical Reliability Engineering with Minitabrelease for Windows Statistical Registration Cardset written by Patrick O'Connor and published by . This book was released on 2019-05-28 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Quality Control

Author : Bhisham C. Gupta
Publisher : John Wiley & Sons
ISBN 13 : 1119671728
Total Pages : 400 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Statistical Quality Control by : Bhisham C. Gupta

Download or read book Statistical Quality Control written by Bhisham C. Gupta and published by John Wiley & Sons. This book was released on 2021-07-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.

Statistical Reliability Engineering

Author : Boris Gnedenko
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 528 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Reliability Engineering by : Boris Gnedenko

Download or read book Statistical Reliability Engineering written by Boris Gnedenko and published by Wiley-Interscience. This book was released on 1999-05-03 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods. Written by three leading innovators in the field, Statistical Reliability Engineering: * Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation * Focuses on the estimation of various measures of system reliability based on the testing of individual units * Contains new theoretical results available for the first time in print * Features numerous examples demonstrating practical applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering.

Modern Statistics

Author : Ron S. Kenett
Publisher : Springer Nature
ISBN 13 : 3031075668
Total Pages : 453 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Modern Statistics by : Ron S. Kenett

Download or read book Modern Statistics written by Ron S. Kenett and published by Springer Nature. This book was released on 2022-09-20 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others. The first chapters of the text focus on analyzing variability, probability models, and distribution functions. Next, the authors introduce statistical inference and bootstrapping, and variability in several dimensions and regression models. The text then goes on to cover sampling for estimation of finite population quantities and time series analysis and prediction, concluding with two chapters on modern data analytic methods. Each chapter includes exercises, data sets, and applications to supplement learning. Modern Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. Because of the foundational nature of the text, it can be combined with any program requiring data analysis in its curriculum, such as courses on data science, industrial statistics, physical and social sciences, and engineering. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included. A second, closely related textbook is titled Industrial Statistics: A Computer-Based Approach with Python. It covers topics such as statistical process control, including multivariate methods, the design of experiments, including computer experiments and reliability methods, including Bayesian reliability. These texts can be used independently or for consecutive courses. The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/ModernStatistics/ "In this book on Modern Statistics, the last two chapters on modern analytic methods contain what is very popular at the moment, especially in Machine Learning, such as classifiers, clustering methods and text analytics. But I also appreciate the previous chapters since I believe that people using machine learning methods should be aware that they rely heavily on statistical ones. I very much appreciate the many worked out cases, based on the longstanding experience of the authors. They are very useful to better understand, and then apply, the methods presented in the book. The use of Python corresponds to the best programming experience nowadays. For all these reasons, I think the book has also a brilliant and impactful future and I commend the authors for that." Professor Fabrizio RuggeriResearch Director at the National Research Council, ItalyPresident of the International Society for Business and Industrial Statistics (ISBIS)Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)