Univariate continuous distribution theory
Offered By: The Open University via OpenLearn
Course Description
Overview
This free course looks at a number of the basic properties of statistical models. Section 1 is concerned with the distributions of continuous random variables which are described by their probability density functions (pdfs) and cumulative distribution functions (cdfs). Section 2 is concerned with moments and covers, the concept of expectation or expected value, the familiar notion of the mean, also known as the first moment, two general definitions of moments, variance, random variables linked by linear transformation and finally, how to deal with moments all in one go, using the moment generating function.
Syllabus
- Introduction
- Learning outcomes
- Link to course PDF
- Conclusion
- Acknowledgements
Tags
Related Courses
Probability/Random VariablesGeorgia Institute of Technology via edX 頑想學概率:機率二 (Probability (2))
National Taiwan University via Coursera Probability: Distribution Models & Continuous Random Variables
Purdue University via edX Probability and Statistics II: Random Variables – Great Expectations to Bell Curves
Georgia Institute of Technology via edX Probability and Probability Distributions
Sri Jayachamarajendra College of Engineering via Swayam