Abstract – Higher accurate forecasting in such fields as sales, shipping is an urgent necessity in industries. There are many researches made on this. In this paper, a hybrid method is introduced and plural methods are compared. Focusing that the equation of exponential smoothing method(ESM) is equivalent to (1,1) order ARMA model equation, new method of estimation of smoothing constant in expo...

A technique for accelerating global convergence of pseudo-transient continuation Newton methods is proposed based on residual smoothing. The motivated by the effectiveness local nonlinear smoothers at overcoming strong transients. In limit a small pseudo-time step, method reduces to smoothing technique, while in large steps, an exact recovered along with its quadratic properties. formulation re...

The traditional textile industry is characterized by a discrete production pattern, because the manufacturing workshop and equipment are quite old, level of information construction low. To assist enterprises in improving informatization, utilization data, management efficiency, system must strengthen data integration. In this paper, with exponential smoothing method proposed. proposed to manag...

We extend the spectrum estimation method of Thomson to non-stationary signals by formulating a multiple window spectrogram. The traditional spectrogram can be represented as a member of Cohen’s class of time-frequency distributions (TFDs), where the smoothing kernel is the Wigner distribution of the signal temporal window. We show the unusual shape of the Cohen’s class smoothing kernels corresp...

For spline smoothing one can rewrite the smooth estimation as a linear mixed model (LMM) where the smoothing parameter appears as the variance of spline basis coefficients. Smoothing methods that use basis functions with penalization can utilize maximum likelihood (ML) theory in LMM framework ([8]). We introduce the minimum description length (MDL) model selection criterion in LMM and propose a...