data envelopment analysis (dea) models with interval inputs and outputs have been rarely discussed in dea literature. this paper, using the enhanced russell measurement proposes an extended model which permits the presence of interval scale variables which can take both negative and positive values. the model is compared with most well-known dea models of which include the ccr model, the bcc mo...

time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. forecasting accuracy is one of the most important features of forecasting models. nowadays, despite the numerous time series forecasting models which have been proposed in several past decades, it is widely recognized that financial markets are extremely difficult to ...

This chapter discusses various methods that have been used to estimate structural models of search and survival models. Most of the focus is on using available data, usually on unemployment spell lengths and accepted wage o¤ers, to estimate the parameters of speci...c search models. In particular, we focus on estimating the parameters of the wage o¤er distribution, the reservation wage or reser...

A notion of morphism that is suitable for the sheaf-theoretic approach to contextuality is developed, resulting in a resource theory for contextuality. The key features involve using an underlying relation rather than a function between measurement scenarios, and allowing for stochastic mappings of outcomes to outcomes. This formalizes an intuitive idea of using one empirical model to simulate ...

Change projects try to optimize business processes and structures and seek to make better use of the resources across the enterprise. In these change projects, business process models are commonly applied to represent both the current and future situation. These models have the ability to show how resources like employees, data, and departments are related to business operations. However, exist...