uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....

theoretically and empirically, it has been often argued that production uncertainty affects the farmers’ production efficiency. insurance can play an impactful role in reducing the uncertainty and, consequently, increasing the investment. using multilevel models, we examined the effect of agricultural insurance programs on investment in the agricultural sector of khorasan razavi province. the c...

abstract this study uses gravity model to examine the most important determinants of was agricultural trade. to this aim, import and export statistics of iran agricultural products for the period 1380 to 1387 was provided from iran customs organization and other information was obtained from different internet bases. random effects estimating and hausman test ratio result in fixed effects model...

We propose and test a BI Success model, based on DeLone and McLean’s IS Success model, that incorporates comprehensive data that is needed for decision-making and computer systems that allow integration and analysis of that data as dimensions of BI success. Our model also includes organizational support structure for BI and the users’ involvement in the ongoing development of BI systems as cont...

Based on uncertainty theory, this paper proposed a vehicle scheduling method considering the dynamic departure interval and configuration of electric buses (EBs). An uncertain bi-level programming model (UBPM) is established, which takes total cost passenger travel (CP) as upper EBs (CB) lower. A chance constrained (CCPM) based randomness waiting time interstation running model. With certain co...

In this paper we consider hierarchically decomposed multilevel systems, and extend previous deterministic methodologies for optimal and consistent design of such systems to account for the presence of uncertainties. Specifically, we use the probabilistic formulation of the analytical target cascading process to solve the multilevel problem, and use an advanced mean value-based technique to esti...