Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...

In most applications, regression models are merely useful approximations. Reality is often so complicated that you cannot know what the true model is. You may have to choose a model more on the basis ...

While traditional multiple testing procedures prohibit adaptive analysis choices made by users, Goeman and Solari (Statist. Sci. 26 (2011) 584–597) proposed a simultaneous inference framework that ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

This is a preview. Log in through your library . Abstract Suppose that inference about parameters of interest is to be based on an unbiased estimating function that is U-statistic of degree 1 or 2. We ...

The Department of Mathematics and Statistics at Saint Louis University offers undergraduate options in pure mathematics, applied mathematics and statistics, as well as graduate degrees in mathematics.

Office Hours: MWF 9:00-9:50 A.M., T 1:30-2:20 P.M., or by appointment Prerequisites: Math 9 or three years of high school mathematics including two years of algebra and one year of geometry; a passing ...

IBM Data Science Professional Certificate teaches Python, SQL, data visualization, and machine learning with hands-on industry-relevant projects. Google Advance ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...