the difficulty of determining intrinsic value of stock prices have led many people to use technical analysis in order to forecast stock prices in the future. to predict the stock price we need to determine the generating process of stock prices. in recent years many time - series methods have been used for forecasting purposes. one of these methods is the rescaled range analysis (ris). in the a...

We analyze experimental evidence on whether untrained subjects can predict how trustworthy an individual is. Two players on a TV show play a high stakes prisoner’s dilemma with pre-play communication. Our subjects report probabilistic beliefs that each player cooperates, before and after communication. Subjects correctly predict that women, and players who voluntarily promise that they will coo...

backgrounds: a straight-forward way to identify whether a drug or environmental chemical can be harmful to unborn baby is to evaluate its effect on laboratory animals. all invivo methods need large number of animal and are therefore time consuming and expensive. however, the thousands of chemicals in need of testing, to reduce the spending of live animals, an assortment of in vitro assays has b...

abstract accurate prediction of hourly minimum temperature is required for various crop models which simulate photosynthesis and transpiration. such data can be used for crop protection and reducing the crops injuries due to freezing as well. our objective of this study is employing trigonometric and pattern recognition (k-nn) approaches to evaluate their potential in prediction of hourly tempe...