This book combines theoretical and practical applications and takes project managers through the most important quantitative methods, integrates them, and illustrates interrelationships.

Statistical models based on Gaussian random variables occupy a central position in modern data analysis, offering a mathematically tractable framework for inference, prediction and dimensionality ...

A bundle is a package of resources grouped together to teach a particular topic, or a series of lessons, in one place. Lesson powerpoints and worksheets on 1) Measures of average and spread 2) PMCC ...

This course builds a rigorous foundation of probability. Topics covered include: basic concepts of probability theory and statistics, counting, axioms of probability, independence, Bayes rule, ...

A random variable is a mathematical function that maps outcomes of random experiments to numbers. It can be thought of as the numeric result of operating a non-deterministic mechanism or performing a ...

A new framework called FLARE combines nonlinear machine learning flexibility with closed-form uncertainty estimates, ...