We explore the added value of deep learning techniques for forecasting and nowcasting in official statistics as an alternative to classic time series models. Several neural network algorithms are ...

Using three real examples, this paper discusses some limitations and dangers of methods appearing in recent SPC texts. It is argued that an extension of ordinary control charting by fitting a time ...

Single and multivariable regression, forecasting using regression models, time series models, and modeling with MA, AR, ARMA, and ARIMA models, forecasting with time series models, and spectral ...