Judgemental forecasting of exchange rates is critical for ®nancial decision-making. Detailed investigations of the potential e€ects of time-series characteristics on judgemental currency forecasts demand the use of simulated series where the form of the signal and probability distribution of noise are known. The accuracy measures Mean Absolute Error (MAE) and Mean Squared Error (MSE) are freque...

This paper evaluates the usage of analytical programming and different fitness functions for software effort estimation. Analytical programming and differential evolution generate regression functions. These functions are evaluated by the fitness function which is part of differential evolution. The differential evolution requires a proper fitness function for effective optimization. The proble...

Key Performance Indicators (KPIs) are essential factors for the success of an organization. KPIs measure current performance and identify ongoing progress specified business objectives. The Ministry Higher Education (MoHE) in Palestine used established formulas to predict KPI. These vital charting organization aims. This study applies regression models student enrollment data sets accurate that...

hydrograph modeling and prediction of groundwater levels are the main concerns of most hydrogeological calculations and water resource management process. the present study is an application of sequential gaussian simulation (sgsim) method for predicting groundwater levels using recorded monthly data (180 months) related to 21 piezometers of behbahan aquifer, southwest of iran. to generate real...

Abstract. The number of wind farms and amount power production in Europe, both on- offshore, have increased rapidly the past years. To ensure grid stability on-time (re)scheduling maintenance tasks to mitigate fees energy trading, accurate predictions speed are needed. Particularly, extreme events high importance farm operators as timely knowledge these can prevent damages offer economic prepar...

Abstract An accurate analysis of spatial rainfall distribution is great importance for managing watershed water resources, in addition to giving support meteorological studies and agricultural planning. This work compares the performance two interpolation methods: Inverse distance weighted (IDW) Kriging, annual distribution. We use data state Rio Grande do Sul (Brazil) from 1961 2017. To determ...

To describe joint timeand frequency-selective (doublyselective) channels in mobile broadband wireless communications, we propose to use the finite parameter model based on the same Bessel functions for each tap (Bessel model). An expression of channel estimation mean squared error (MSE) based on the finite parameter models in Orthogonal Frequency Division Multiplexing (OFDM) systems is derived....

In sample surveys, it is usual to make use of auxiliary information to increase the precision of the estimators. We propose a new chain ratio estimator and regression estimator of a finite population mean using linear combination of two auxiliary variables and obtain the mean squared error (MSE) equations for the proposed estimators. We find theoretical conditions that make proposed estimators ...

This paper addresses an effective learning method that enables us to directly optimize neural network classifier's discrimination performance at a desired local operating range by maximizing a partial area under a receiver operating characteristic (ROC) or domain-specific curve, which is difficult to achieve with classification accuracy or mean squared error (MSE)-based learning methods. The ef...