Abstract Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from web resources. Assessment is most important in any learning system. An assessment system can find self-learning gaps of and improve progress learning. The manual question generation takes much time labor. Therefore, automatic resources primary task an automated This paper p...

In this paper, we discuss a Bayesian approach to quantile autoregressive (QAR) time series model estimation and forecasting. Together with a combining forecasts technique, we then predict USD to GBP currency exchange rates. Combined forecasts contain all the information captured by the fitted QAR models at different quantile levels and are therefore better than those obtained from individual mo...