Poisson Statistics: Examples and Applications

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Related lectures (31)

Page 3 of 4

Central Limit Theorem: Properties and Applications

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Acceptance-Rejection Methods: Advanced Techniques

Explores advanced Acceptance-Rejection methods, sampling from normal distribution, and multivariate random variable generation.

Continuous Random Variables

Covers continuous random variables, probability density functions, and distributions, with practical examples.

Basics of Risk Analysis and Management

Introduces the basics of risk analysis and management in civil engineering, covering distributions, statistical reminders, and mathematical interpretation techniques.

Probability Distributions

Covers various probability distributions and their applications in real-world scenarios.

Describing Data: Statistics and Hypothesis Testing

Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.

Statistics: Hypothesis Testing & Confidence Intervals

Covers hypothesis testing, confidence intervals, data distributions, and statistical significance in data analysis.

Testing: t-tests

Covers t-tests, p-values calculation, and comparison of coefficients.

All of Probability: Basic Bounds, LLN & CLT

Introduces basic bounds, LLN, and CLT in probability theory, emphasizing convergence to normal distribution.

Functions Generators

Covers moment and cumulant generating functions for random variables, enabling calculation of moments and cumulants.