نتایج جستجو برای: time models
تعداد نتایج: 2612439 فیلتر نتایج به سال:
improving time series forecastingaccuracy is an important yet often difficult task.both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. in this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...
introduction: time series models are generally categorized as a data-driven method or mathematically-based method. these models are known as one of the most important tools in modeling and forecasting of hydrological processes, which are used to design and scientific management of water resources projects. on the other hand, a better understanding of the river flow process is vital for appropri...
Introduction: The most important models used in analysis of survival data is proportional hazards models. Applying this model requires establishment of the relevance proportional hazards assumption, otherwise it world lead to incorrect inference. This study aims to evaluate Cox and Weibull models which are used in identification of effective factors on survival time in acute leukemia. Me...
Abstract Background: Semi-Markov multi-state models are very important to describe regression and progression in chronic diseases and cancers. Purpose of this research was to determine the prognostic factors for survival after acute leukemia using multi-state models. Materials and Methods: In this descriptive longitudinal research, a total of 507 acute leukemia patients (206 acute lymphocyt...
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