this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...

  In recent years, various time series models have been proposed for financial markets forecasting. In each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. Many researchers have compared different time series models together in order to determine more efficien...

most scientists believe that the phenomenon of global warming occurred, however, in the case of the occurrence of this phenomenon by some environmental scientists have raised doubts. they are questioning global warming by arguing that the temperature recorded at the weather stations cannot be representative of the occurrence of the temperature rise. because with the passage of time and the incr...

Loosely speaking, a stationary time series is one whose statistical properties remain constant over time, whereas the statistical properties of locally stationary (LS) time series change slowly over time. As a consequence, LS series can appear stationary when examined close up, but appear nonstationary when examined on a larger scale. Priestley (1983) and Nason and von Sachs (1999) review local...

Loosely speaking, a stationary time series is one whose statistical properties remain constant over time, whereas the statistical properties of locally stationary (LS) time series change slowly over time. As a consequence, LS series can appear stationary when examined close up, but appear nonstationary when examined on a larger scale. Priestley (1983) and Nason and von Sachs (1999) review local...

The well-known hypothesis that stop paradigms tend to display gaps at the voiced velar and voiceless bilabial positions was tested. Data from UPSID suggest that this tendency represents a rough average across the world's languages, but that it misses some strong areal biases. For example, African languages do not avoid voiced velar stops, and they are responsible for most of the underrepresenta...