Distribution+Theory

Distribution Theory (GWU EMSE-271)
Index | Topics (Logical Lectures) | Lectures | Problems | Readings | Nomenclature | Concepts

> Probability Mass Function (pmf) (Slides 33-34) (pmf and pdf EMSE 280) > Cummulative Distribtuion Function (cdf) (Slides 35-36) (EMSE280) > Probability Distribution (or Probability Density Functcion (pdf)) (Slides 37-39) (EMSE 280) > Expected or Mean Value (E[X]) (Slides 40-41) (EMSE 280) > Measures of Uncertainty: Variance (V[X[) and Standard Deviation (sigma x) (Slides 42) (Variance EMSE 280) > Covariance (COV) (Measure of Dependence), Correlation) (Slides 43-45) > > Using Distributions > > > Discrete Univariate Models (Slide 46) > > Continuous Univariate Models (Slide 47) > > Kernals and Constant of Integration (Slide 48) (Parametric Family EMSE 280)


 * Sources:**
 * EMSE 271 - Fall 2009
 * EMSE 280 - Spring 2008