Quantile

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Related lectures (32)

Page 3 of 4

Exploratory Statistics: Understanding Populations and Samples

Covers exploratory statistics, focusing on populations, samples, and various statistical measures.

Extreme Value Analysis: Statistical Consequences

Explores the statistical consequences of extreme value analysis and implications of model mis-specification.

Quantiles and Functions of Random Variables

Explains quantiles, functions of random variables, conditional densities, and variable transformations.

Statistical Measures: Mean, Median, and Dispersion Techniques

Discusses statistical measures of central tendency and dispersion, focusing on mean, median, and their implications in data analysis.

Probability and Statistics

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.

Families of Distributions: PDFs and CDFs

Explores PDFs and CDFs for discrete and continuous random variables, including Gaussian, uniform, and exponential distributions.

Probability Distributions: Moments and Quantiles

Explains moments, expectation, variance, and quantiles in probability distributions with examples like Poisson and exponential distributions.

Statistical Tests for Exponential Families

Covers the optimal statistical tests for exponential families and the use of approximations in hypothesis testing.

Estimating GEV Parameters

Explores techniques for estimating GEV parameters using graphical and likelihood-based methods, illustrated with real-world examples.

Regression Diagnostics

Covers regression diagnostics for linear models, emphasizing the importance of checking assumptions and identifying outliers and influential observations.