OperationReliabilityMulti-state modelSemi-Markov processSemi-Markov processes theory delivers some methods that allow us to construct models of the operation process, especially in the reliability aspect. Semi-Markov model of the many steps operation is presented in the chapter. The considered operation...
To develop the utility measures for multi-state systems, we assume that the degradation of the multi-state systems follows a non-homogeneous semi-Markov ... G D'Amico,GD Biase,R Manca - 《Decisions in Economics & Finance》 被引量: 2发表: 2011年 Semi-Markov Multistate Model withInterval-...
Nonparametric likelihood methods are developed for the analysis of partially censored data arising from a multistate stochastic process. It is assumed that the underlying process follows a semi-Markov model in which state changes form an embedded Markov chain and sojourn times are independent with dist...
This paper introduces a Markov model for a multi-state repairable system in which some states are changeable in the sense that whether those physical states are up or down depends on the immediately preceding state of the system evolution process. Several reliability indexes, such as availability,...
Multistate Markov models for disease progression with classification error Journal of the Royal Statistical Society: Series D (The Statistician), 52 (2) (2003), pp. 193-209 View in ScopusGoogle Scholar Jiang, 2010 Y Jiang Application and comparison of regression and markov chain methods in bridg...
Semi-Markov processes have gained popularity as multistate models of disease progression, but have rarely been used in randomised clinical trials (RCTs) when many endpoints are collected over time. Reasons for this include the additional complexity created by censoring, the complexity of the model ...
A semi-Markov model with covariates is proposed for a multi-state process with a finite number of states such that the transition probabilities between the states and the distribution functions of the duration times between the occurrence of two states depend on a discrete covariate. The hazard ...
Semi-Markov Modelling for Multi-State Systems Reliability indicators?Semi-Markov processes?Parameter estimation?In this work we focus on multi state systems that we model by means of semi-Markov ... VS Barbu,A Karagrigoriou,A Makrides - 《Methodology & Computing in Applied Probability》 被引量:...
Semi-Markov model is one of the most general models for stochastic dynamic systems. This paper deals with a two-person zero-sum game for semi-Markov processes. We focus on the expected discounted criterion with state-action-dependent discount factors. The state and action spaces are both Polish...
Parametric inference for time‐to‐failure in multi‐state semi‐Markov models: A comparison of marginal and process approaches In many applications, the time to some event of interest (generically called failure) is the end point of an underlying stochastic process. This article co... Y Yang,...