Titlebook: Bayesian Reliability; Michael S. Hamada,Alyson G. Wilson,Harry F. Martz Book 2008 Springer-Verlag New York 2008 Assurance testing.Bayesian

重力

Nutrition and Growth in Infancyeous and nonhomogeneous Poisson processes, modulated power law processes, and a piecewise exponential model. This chapter also addresses how well these models fit the data and evaluates current reliability and other performance criteria, which characterize the reliability of repairable systems.

表狀態(tài)

Brittle

E. Tronick,H. Als,T. B. Brazeltonanning variable situations, we show how to use a genetic algorithm to find a near-optimal plan. This chapter illustrates data collection planning for a number of problems involving binomial, lifetime, accelerated life test, degradation, and system reliability data.

流動性

Mechanics

安慰

Using Degradation Data to Assess Reliability, how to accommodate covariates such as acceleration factors that speed up degradation and experimental factors that impact reliability in reliability improvement experiments. We also consider situations in which degradation measurements are destructive and conclude by introducing alternative stochastic models for degradation data.

現(xiàn)存

Planning for Reliability Data Collection,anning variable situations, we show how to use a genetic algorithm to find a near-optimal plan. This chapter illustrates data collection planning for a number of problems involving binomial, lifetime, accelerated life test, degradation, and system reliability data.

航海太平洋

THE

Advanced Bayesian Modeling and Computational Methods,istributions that result from these more complicated models in closed form, we begin this chapter with a description of Markov chain Monte Carlo algorithms that can be used to generate samples from intractable posterior distributions. These samples provide the basis for subsequent model inference. W

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