Moment Generating Functions Courses and Certifications

Statistics 110 - Probability

Comprehensive introduction to probability theory, covering fundamental concepts, distributions, and applications. Ideal for understanding statistics, science, and randomness in various fields.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Video

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves

Explore discrete and continuous random variables, their properties, and applications. Learn about joint variables, independence, and correlation. Practice with R for statistical analysis.

• edX
• 4 weeks, 6-12 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Probability/Random Variables

Explore probability concepts and random variables, enhancing modeling skills for real-world applications. Learn about discrete and continuous variables, expected values, and joint distributions using R statistical package.

• edX
• 7 weeks, 6-11 hours a week
• On-Demand
• $398.00
• 2 courses

Univariate continuous distribution theory

2 ratings at OpenLearn

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 ...

• OpenLearn
• 10 hours
• On-Demand
• Free Certificate

Probability: Distribution Models & Continuous Random Variables

Learn about probability distribution models, including normal distribution, and continuous random variables to prepare for a career in information and data science.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Professor Knudson

Moment Generating Functions

1 review

Explore moment generating functions in-depth with Professor Knudson's comprehensive 8-part video series, covering theory and applications in probability and statistics.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Probability Theory for Data Science

Explore probability theory's foundations and applications in data science, covering key concepts, distributions, and statistical inference for data-driven decision-making and analysis.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

statisticsmatt

Statistical Theory

Explore advanced statistical concepts, proofs, and applications using R, covering topics from probability distributions to matrix properties and confidence intervals.

• YouTube
• 5 hours
• On-Demand
• Free Video

statisticsmatt

Characteristic, Moment Generating, Factorial Generating Functions

Explore generating functions in probability theory, including characteristic, moment, and factorial, with applications to various distributions and statistical problems.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Statistics is Fun A.H

Binomial Distribution

Learn about binomial distribution's M.G.F, C.G.F, and its approximation to Poisson using various methods including Stirling's formula and characteristic functions.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Statistics is Fun A.H

Gamma Distribution

Learn about the Gamma distribution's properties, including its mean, variance, and moment generating function, as well as related gamma function properties and proofs.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Statistics is Fun A.H

Normal Distribution

Explore the normal distribution, including coin toss probabilities, moment generating functions, and calculating areas under the curve.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Probability Distributions - Mean, Variance, MGF Derivation

Comprehensive video series on deriving mean, variance, and moment generating functions for various probability distributions, covering normal, binomial, Poisson, and more.

• YouTube
• 8 hours
• On-Demand
• Free Video

Probability for Actuarial Science

Comprehensive preparation for actuarial probability exams, covering key concepts from set theory to multivariate distributions with practical examples and visual explanations.

• YouTube
• 11 hours
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Fundamentals of Heavy-tails: Properties and Emergence - Lecture 5

Explore heavy-tailed distributions: properties, emergence, and applications in probability theory. Gain insights into advanced stochastic processes and their mathematical foundations.

• YouTube
• 1 hour 54 minutes
• On-Demand
• Free Video