نتایج جستجو برای: model uncertainty

تعداد نتایج: 2184387  

The purpose of this study is presentation a method for clustering bank customers based on RFM model in terms of uncertainty. According to the proposed framework in this study after determination the parameter values of the RFM model, including recently exchange (R), frequency exchange (F), and monetary value of the exchange (M), grey theory is used to eliminate the uncertainty and customers are...

Petroleum price is a variable which affects the economies of all countries (either exporters or importers). This paper uses Iran’s economic data during 2006-1959 to study the petroleum price impact on Government’s financial variables and economic growth through cointegrated VAR method. An influential facet of petroleum price is uncertainty and its effect. This uncertainty is taken from GARCH (1...

The aim of this paper is robust identification of smart foam, as an electroacoustic transducer, considering unmodeled dynamics due to nonlinearities in behaviour at low frequencies and measurement noise at high frequencies as existent uncertainties. Set membership estimation combined with model error modelling technique is used where the approach is based on worst case scenario with unknown but...

  This paper investigates the relationship between real exchange rate uncertainty and stock price index in Tehran stock exchange for the period of 1995-2009 by using monthly data and applying Bivariate Generalized Autoregressive Conditional Heteroskedasticity model (Bivariate GARCH). The results show that there is a negative and significant relationship between real exchange rate uncertainty an...

2010
Brian A. Lockwood Mihai Anitescu

In this work, we investigate the issue of providing a statistical model for the response of a computer model-described nuclear engineering system, for use in uncertainty propagation. The motivation behind our approach is the need for providing an uncertainty assessment even in the circumstances where only a few samples are available. Building on our recent work in using a regression approach wi...

Journal: :journal of industrial engineering, international 2006
p hanafizadeh a seifi k ponnambalam

this paper proposes a family of robust counterpart for uncertain linear programs (lp) which is obtained for a general definition of the uncertainty region. the relationship between uncertainty sets using norm bod-ies and their corresponding robust counterparts defined by dual norms is presented. those properties lead us to characterize primal and dual robust counterparts. the researchers show t...

بخشی‌پور رودسری, عباس , شاهجویی, تقی , فخاری, علی , محمودعلیلو, مجید ,

Objectives: The aim of the present study was to compare intolerance of uncertainty and worry among patients with generalized anxiety disorder (GAD), obsessive-compulsive disorder (OCD) and normal individuals. Method: Thirty one patients with GAD, thirty one patients with OCD and thirty one normal individuals were selected via inconvenient sampling. Data gathering was done using Intolerance of U...

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Design of a logistics network in proper way provides a proper platform for efficient and effective supply chain management. This paper studies a multi-period, multi echelon and multi-product integrated forward-reverse logistics network under uncertainty. First, an efficient complex mixed-integer linear programming (MILP) model by considering some real-world assumptions is developed for the inte...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی 1390

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

2015
Thomas Heinis

Technological and industrial advances allows for biological and non-biological epidemics to spread faster than the world has ever seen. The analysis of epidemiological models and uncertainty quantification represents one of the best strategies for the control and management of infectious diseases. The main contributions of this project are a comparison between simulated and analytically derived...

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