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In this paper, we introduce a new d-Spline based Incremental Performance Parameter Estimation method (IPPE ). We first define a fitting function d-Spline, which has high flexibility to adapt given data and can be easily computed. The complexity of d-Spline is O(n). We introduce a procedure for incremental performance parameter estimation and an example of data fitting using d-Spline. We applied...

this paper describes two data analysis techniques adopted in a decision support system (dss), decline curve estimation and artificial neural network (ann) approaches, which aid users in predicting oil production of a field. the system generates different predictions, according to scenario, chosen for prediction. these two approaches show that to explain production of a field, ann method shows b...

The method of scoring is developed for the particular applications that arrise in estimating systems of ordinary diierential equations. Particular attention is paid to parametrising the solution set of the diierential system in such a way that the estimation problem is well posed. It is shown that the method of scoring is very appropriate for this application. Numerical results obtained using t...

Abs t r ac t . This paper presents an analysis-by-image-synthesis framework of shape and pose estimation of 3D multi-part objects, whose purpose is to map objects in the real world into virtual environments. In general, complex 3D multi-part objects cause serious self-occlusion and non-rigid motion. To deal with the occlusion among them, we employ both multiple calibrated cameras and time-varyi...

unemployment-inflation trade-off is known as philips curve. this relationship was first defined for england economy by professor philips since 1958. much development has been submitted by different economic schools about this innovation. in this paper, apart from dealing with the new-keynesians philips curve, the curve mentioned is estimated for iranian economy. in addition, we are going to com...

Receiver operating characteristic (ROC) curve is widely applied in measuring discriminatory ability of diagnostic or prognostic tests. This makes the ROC analysis one of the most active research areas in medical statistics. Many parametric and semiparametric estimation methods have been proposed for estimating the ROC curve and its functionals. In this paper, we propose the Bayesian bootstrap (...