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Hotelling's T-squared distribution
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DOE Qualitative factors: IV
Explores qualitative factors in Design of Experiments, including statistical tests and error types.
Statistical Hypothesis Testing: Basics and Applications
Covers the basics of statistical hypothesis testing, p-values, confidence levels, and t-tests.
Testing: t-tests
Covers t-tests, p-values calculation, and comparison of coefficients.
Statistical Tests: Independence and Homogeneity
Explores statistical tests for independence and homogeneity, including chi-square tests and Fisher's exact test, with practical examples and applications.
Hypothesis Testing: T-Test and Chi-Square Test
Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.
Copulas and Extreme Values
Explores copulas for measuring dependence strength in distributions and transforming variables to unit Fréchet margins.
Randomization tests: Understanding Experimental Results
Explores randomization tests as an alternative to t-tests for experimental analysis, using fake data to assess treatment effectiveness.
Probability Distributions: Central Limit Theorem and Applications
Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.
Heavy-Tailed Distributions
Explores heavy-tailed distributions, the Hill estimator, convergence to Gaussian, and distribution comparison.
Copulas and Margins: Extremal Dependence in Statistics
Delves into copulas, margins, and extremal dependence in statistics, covering topics like logistic copulas and Kendall's tau.