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Statistical Methods for Reliability Data, Second Edition

Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data;

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Statistical Models and Methods for Reliability and Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as;

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Statistical Analysis of Reliability Data

the statistical techniques used for the assessment of reliability.;

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Reliability Analysis with Minitab

Statistical Analysis for the Reliability Engineering Professional Effectively conduct reliability analysis using the world's leading;

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Reliability Analysis with Minitab

Statistical Analysis for the Reliability Engineering Professional Effectively conduct reliability analysis using the world's leading;

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Statistical Analysis of Reliability Data

. Aimed at readers who have a first course in statistical methods, it develops the specific techniques used in reliability data analysis from a;

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Statistical Analys Reliability Data

. Aimed at readers who have a first course in statistical methods, it develops the specific techniques used in reliability data analysis from a;

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Statistical Reliability Engineering

reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems;

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Statistical Modelling and Analysis Techniques

multivariate data analysis, data mining, inference for statistical models, sampling methods and reliability studies. An article dedicated to Professor;

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Statistical Reliability Engineering

Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system;

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Spacecraft Reliability and Multi-State Failures

provide new results pertaining to spacecraft reliability based on extensive statistical analysis of on-orbit anomaly and failure data that will be;

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Reliability and Statistical Computing

maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep;

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Reliability and Statistical Computing

maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep;

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Achieving Product Reliability

examples to illustrate key statistical concepts such as the Weibull and lognormal distributions, hazard rate, and censored data;

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Achieving Product Reliability

examples to illustrate key statistical concepts such as the Weibull and lognormal distributions, hazard rate, and censored data;

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Statistical Methods for the Reliability of Repairable Systems

that are nonrepairable and therefore discarded upon failure. Statistical Methods for the Reliability of Repairable Systems fills the gap in the;

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Statistical Methods for Engineers and Scientists

emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern;

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Statistical Methods for Engineers and Scientists

emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern;

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Data Intensive Industrial Asset Management

challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition;

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Statistical Analysis of Reliability and Life-Testing Models

Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical;

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Accelerated Life Testing of One-shot Devices - Data Collection and Analysis

Provides authoritative guidance on statistical analysis techniques and inferential methods for one-shot device life-testing Estimating;

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Practical Reliability Engineering

data analysis, reliability prediction and modelling, design for reliability and safety as well as management and economics of reliability;

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Data Intensive Industrial Asset Management: Iot-Based Algorithms and Implementation

challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition;

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Applied Reliability

test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded;

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Handbook of Reliability Engineering

results originated by prominent Russian reliability specialists. Completely covers probabilistic reliability, statistical reliability and;

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Testing and Inspection Using Acceptance Sampling Plans

reliability, quality and risk analysis methods based on acceptance sampling from truncated life, which engineering and statisticians require in order;

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Applied Reliability

leading-edge reliability techniques. It includes an extensive treatment of life distribution and accelerated testing models and data analysis and;

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