In a test of significance (also called a hypothesis test), Type I error is the error of rejecting the null hypothesis when it is true — of saying an effect or event is statistically significant when it is not.
Monthly Archives: November 2013
Predictive Modeling and Typhoon Relief
The devastation wrought by Super-Typhoon Haiyan in the Philippines is the biggest test yet for the nascent technology of “artificial intelligence disaster response,” a phrase used by Patrick Meier, a pioneer in the field. When disaster strikes, a flood of social media posts and tweets ensues. There is useful information in the data flood, butContinue reading “Predictive Modeling and Typhoon Relief”