Continuous Random Variables

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Conditional Density and Expectation

Explores conditional density, expectations, and independence of random variables with practical examples.

Probabilities and Statistics

Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.

Law of Large Numbers: Strong Convergence

Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.

Probability and Statistics

Covers probability distributions, moments, and continuous random variables.

Probability Distributions in Environmental Studies

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Continuous Random Variables: Distributions and Examples

Explores continuous random variables, density functions, and distribution laws with practical examples.

Probability and Statistics: Fundamentals

Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.

Random Variables: Expectation and Independence

Explores random variables, expectation, and independence in probability theory.

Continuous Random Variables: Basic Ideas

Explores continuous random variables and their properties, including support and cumulative distribution functions.