Second-generation sequencing technologies have replaced array-based technologies and become the default method for genomics and epigenomics analysis. Second-generation sequencing technologies sequence ...

The well-established forecasting methods of exponential smoothing rely on the “optimal” estimation of parameters if they are to perform well. A grid search procedure to minimise the MSE is often used ...

In the STEPAR method, PROC FORECAST first fits a time trend model to the series and takes the difference between each value and the estimated trend. (This process is called detrending.) Then, the ...

Associative Model (68): Forecasting Technique that uses explanatory variables to predict future demand. Bias (93): Persistent tendency for forecasts to be greater or less than the actual values of a ...

Depending on the smoothing model, the smoothing weights consist of the following: is a level smoothing weight. is a trend smoothing weight. is a seasonal smoothing weight. is a trend damping weight.