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  • Reliability and Risk Analysis

    Collections series What Every Engineer Should Know
    Completely updated for a new edition, this book introduces reliability and risks analysis, for both practicing engineers and engineering students at the undergraduate and graduate levels. Since reliability analysis is a multidisciplinary subject, this book draws together a wide range of topics and presents them in a way that applies to most engineering disciplines.Reliability and Risk Analysis, ... En savoir plus

    $101.99 CAD

  • Reliability Engineering and Risk Analysis

    A Practical Guide, Third Edition

    This undergraduate and graduate textbook provides a practical and comprehensive overview of reliability and risk analysis techniques. Written for engineering students and practicing engineers, the book is multi-disciplinary in scope. The new edition has new topics in classical confidence interval estimation; Bayesian uncertainty analysis; models for physics-of-failure approach to life estimation; ... En savoir plus

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  • Probabilistic Physics of Failure Approach to Reliability

    Modeling, Accelerated Testing, Prognosis and Reliability Assessment

    Collections series Performability Engineering Series
    The book presents highly technical approaches to the probabilistic physics of failure analysis and applications to accelerated life and degradation testing to reliability prediction and assessment. Beside reviewing a select set of important failure mechanisms, the book covers basic and advanced methods of performing accelerated life test and accelerated degradation tests and analyzing the test ... En savoir plus

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  • Risk Analysis in Engineering

    Techniques, Tools, and Trends

    Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p ... En savoir plus

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  • What Every Engineer Should Know about Reliability and Risk Analysis

    Collections series What Every Engineer Should Know
    "Examining reliability, availability, and risk analysis and reviewing in probability and statistics essential to understanding reliability methods, this outstanding volume describes day-to-day techniques used by practicing engineers -- discussing important reliability aspects of both components and complex systems. " ... En savoir plus

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  • Financial Data Resampling for Machine Learning Based Trading

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    Collections series Mathematics and Statistics (R0)
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  • Schaum's Outline of Business Statistics, Fourth Edition

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    Confused by business statistics? Problem solved.Schaum's Outline of Business Statistics helps you understand basic concepts and offers extra practice on topics you'll encounter in your introductory- and intermediate-level courses. With this book, you'll understand and master the basic methods of statistical description, statistical inference, decision analysis, and process control. You will also ... En savoir plus

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  • Practical Reliability Engineering

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  • Fundamentals of Quality Control and Improvement

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    A statistical approach to the principles of quality control and managementIncorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Fourth Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical ... En savoir plus

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  • The Six Sigma Black Belt Handbook, Chapter 14 - Analyze Phase

    Here is a sample chapter from Six Sigma Black Belt Handbook, which offers the best and the latest information to assist you in solving some of the most complex problems imaginable. In this book written by the instructors of the world renowned Motorola University, you'll find valuable advice on how to integrate research and development, manufacturing, human resources, finance, marketing, quality, ... En savoir plus

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  • Generalized Additive Models

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