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Springer Reliability Engineering : Springer Series in Reliability Engineering - Hoang Pham

Springer Reliability Engineering

By: Hoang Pham (Editor)

Paperback | 28 October 2010

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Central Limit Theorem for a Family of Reliability Measures Modeling and Reliability Evaluation of Multi-state k-out-of-n Systems On Weighted Least Squares Estimation for the Parameters of Weibull Distribution Periodic and Sequential Imperfect Preventive Maintenance Policies for Cumulative Damage Models Some Alternative Approaches to System Reliability Modeling The Optimal Burn-in: State of the Art and New Advances for Cost Function Formulation Optimum Threshold Level of Degrading Systems based on Sensors Observation Weibull Data Analysis with Few or No Failures A Load-weighted Statistical Average Model of Fatigue Reliability under Cyclic Load with Random Amplitude Performance Evaluation for Software System with Processing Time Limit based on the Number of Debuggings using Markovian Availability Model Failure Probability Estimation of Long Pipeline by Segment-dependent Reliability Model Software Fault Imputation in Noisy and Incomplete Measurement Data A Linearized Growth Curve Model for Software Reliability Data Analysis Software Reliability Model Considering Time-delay Fault Removal A Heuristic Approach for Maximizing Software Reliability via Optimal Component Deployment Software Reliability Growth Models based on Components' Characteristics A Study on Appearance Quality Improvement for Sponge Corner Material for Automotive Products Economic Design of Engineering Systems with Degrading Components using Present Worth of Loss of Quality Economic-Statistical Design of a Logarithmic Transformed S2 EWMA Chart Risk Management Techniques for Quality Software Development and its Quantitative Evaluation Recent Advances in Data Mining for Categorizing Text Records Quality in Design: User-oriented Design of Public Toilets for Visually Impaired People Assurance Cases for Reliability: Reducing Risksto Strengthen ROI for SCADA Systems Detecting Drivers' Emotions: A Step Towards Emotion-based Reliability Engineering Mortality Modeling Perspectives

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