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ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process.
Stochastic VolatilityPreventive MaintenanceBirnbaum-Saunders DistributionFailure RateTime SeriesSpecial IssueMarkov Chain Monte CarloBayesian InferenceMaximum Likelihood EstimationBayesian AnalysisStatistical Process ControlMonte Carlo SimulationMarkov ChainReliability FunctionOption PricingGeneralized Linear ModelsFinancial Time SeriesStochastic Volatility ModelMaximum LikelihoodWEIBULL Distribution
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