Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Elementary Distributions Factsheet

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (55)

Types of Variables and Multinomial Distribution Log in to Mediaspace to watch this video

Introduces types of variables, multinomial distribution, data characteristics, shapes of densities, correlation, and data visualization methods.

Maximum Likelihood Estimation Log in to Mediaspace to watch this video

Introduces maximum likelihood estimation for statistical parameter estimation, covering bias, variance, and mean squared error.

Random Variables: Introduction and Bernoulli Trials Log in to Mediaspace to watch this video

Introduces random variables, approximation, convergence, and Bernoulli trials in statistics.

Statistical Analysis: Boxplot and Normal Distribution Log in to Mediaspace to watch this video

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.

Statistical analysis of network data Log in to Mediaspace to watch this video

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Central Limit Theorem: Illustration and Applications Log in to Mediaspace to watch this video

Explores the Central Limit Theorem and its statistical implications in random variables.

Expectation Values: Understanding Probability Distribution Functions Log in to Mediaspace to watch this video

Explains how to calculate expectation values for random variables using examples like a dice game.

Precipitation and Hydrologic Design Log in to Mediaspace to watch this video

Covers methods to define the design storm, empirical distribution of rainfall maxima, Gumbel distribution, and intensity-duration-frequency relationships.

Statistical Theory: Inference and Sufficiency Log in to Mediaspace to watch this video

Explores statistical inference, sufficiency, and completeness, emphasizing the importance of sufficient statistics and the role of complete statistics in data reduction.

Random Variables and Covariance Log in to Mediaspace to watch this video

Covers random variables, variances, and covariance, as well as the probability in random graphs.

Transformations of Variables Log in to Mediaspace to watch this video

Covers the calculation of cumulative distribution functions and probability density functions for transformed random variables.

Statistics: Exploratory Data Analysis Log in to Mediaspace to watch this video

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Transformation of Random Variables Log in to Mediaspace to watch this video

Explores the transformation of random variables, joint moments, covariance, and variance.

Sparsest Cut: Bourgain's Theorem Log in to Mediaspace to watch this video

Explores Bourgain's theorem on sparsest cut in graphs, emphasizing semimetrics and cut optimization.

Extreme Values: Applications and Probability Framework Log in to Mediaspace to watch this video

Explores extreme values in random variables, applications in environmental factors, reliability modeling, block maxima distribution, and the Generalized Extreme Value distribution.

Page 3 of 3