Background and aims: Since accurate forecasts help inform decisions for preventive health-careintervention and epidemic control, this goal can only be achieved by making use of appropriatetechniques and methodologies. As much as forecast precision is important, methods and modelselection procedures are critical to forecast precision. This study aimed at providing an overview o...

Though forecasting methods are used in numerous fields, we have seen no work on providing a general theoretical framework to build forecast operators into temporal databases. In this paper, we first develop a formal definition of a forecast operator as a function that satisfies a suite of forecast axioms. Based on this definition, we propose three families of forecast operators called determini...

Ensemble techniques have been used to generate daily numerical weather forecasts since the 1990s in numerical centers around the world due to the increase in computation ability. One of the main purposes of numerical ensemble forecasts is to try to assimilate the initial uncertainty (initial error) and the forecast uncertainty (forecast error) by applying either the initial perturbation method ...

In this study a new type of ensemble forecast assimilation technique is developed in order to improve the forecast skill in the nonlinear dynamical system. The forecast assimilation is an analysis technique in which a true value contained in each ensemble forecast is accumulated into a single assimilated forecast such as a data assimilation. For the experiments, we used a Lorenz model, and a Ka...

The aim of the present research is to determine the effects of financial information transparency and composition of board of directors on forecast accuracy of corporate earnings in companies. A corporation's key for success is hidden in its optimal direction. So it can be claimed that the secret of the eternal reputation of popular corporations lies in their efficient board of directors. One o...

Ensemble techniques have been used to generate daily numerical weather forecasts since the 1990’s in numerical centers around the world due to the increase of computation ability. One of the main purposes of numerical ensemble forecast tends to assimilate initial uncertainty (both observation and analysis errors) and forecast uncertainty (model errors) by applying either initial perturbation me...

INTRODUCTION Benign prostatic hyperplasia (BPH) is the most common non-neoplastic disorder of aging American men.1 The prevalence of BPH increases from 8% in men between 31 and 40 years of age to 50% in men between 51 and 60 years of age to more than 80% in men older than 80 years of age.2,3 Although the exact etiologic mechanism of BPH is unknown, hormonal changes involving the accumulation of...