agricultural output is still produced by smallholder farmers who unfortunately continue to depend on climate variability. Hence … understanding the relationships between climate variability and agricultural production is therefore critical to SSA countries …. Unfortunately, the statistics base on climate change is currently very poor and the provision of these statistics is compelling and …

Motivated by the problem of setting prediction intervals in time series analysis, we suggest two new methods for …

Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that … stock market prediction methods. We then focus on some of the research achievements in stock analysis and prediction. We …

have an incentive to bias the generation of evidence defy frequentist statistics. Yet the law can capitalize on the …

Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that … stock market prediction methods. We then focus on some of the research achievements in stock analysis and prediction. We …

methods cannot be adequately tested and evaluated either because of (a) lack of a precise definition of “prediction” and/or (b … designed in 1984 for prediction of great, Magnitude 8, earthquakes, hence its name. By 1986, the algorithm was rescaled for …-term middle-range earthquake prediction technique has been designed. Since 1991, each half-year, the algorithm M8 alone and in …

particular, we will describe the general scheme of prediction and analysis of statistical data used in the calculations. Next …