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Titlebook: Stochastic Reliability and Maintenance Modeling; Essays in Honor of P Tadashi Dohi,Toshio Nakagawa Book 2013 Springer-Verlag London 2013 Ap

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Reliability of Systems Subjected to Imperfect Fault Coverage,been done on the reliability modeling and optimization of systems subjected to imperfect fault coverage. The methodologies adopted mainly include combinatorial approach, ordered binary decision diagram and universal generating function. Depending on the type of fault tolerant techniques used, there
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Customer-Perceived Software Reliability Predictions: Beyond Defect Prediction Models,ervice-impacting outages and system stability. Data requirements are clearly defined in terms of test defects and field outages to ensure a good data collection process. We incorporate the effect of operational profile to demonstrate the changes in defect find rate from internal tests through precut
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Application of EM Algorithm to NHPP-Based Software Reliability Assessment with Ungrouped Failure Tisson processes (NHPPs). The idea behind our methods is to regard usual failure time data as incomplete data. This leads to quite simple computation procedures for NHPP-based SRMs based on the EM (expectation–maximization) algorithm, and these algorithms overcome a problem arising in practical use of
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Closed-Form Approach for Epistemic Uncertainty Propagation in Analytic Models,, known as aleatory uncertainty. Randomness in events of interest like times to failure/recovery of components, ability to detect failures, ability to perform recovery action, inter-arrival time, service time, etc., are taken into account in the models, by means of their distributions. The models ar
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Generational Garbage Collection Policies,longer referenced by programs are called . and should be thrown away. A . determines which objects are garbage and makes the heap space occupied by such garbage available again for the subsequent new objects. Garbage collection plays an important role in Java’s security strategy, however, it adds a
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Generalized Logit-Based Proportional Hazards Models and Their Applications in Survival and Reliabils its semiparametric versions. The method of maximum likelihood and the partial likelihood approach are applied to estimate the parameters of the parametric and semiparametric models, respectively. This new family of models is illustrated with male laryngeal cancer data and compared with Cox regression.
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Repair Strategies in an Uncertain Environment: Stochastic Game Approach,and it is unable to respond. We model conflict situations where the operating environment is controlled by an opponent. We develop stochastic game models to determine the form of the optimal Maintenance/Repair policy under these conditions and present numerical examples.
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