Noncentral t-distribution

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Covers linear regression topics including confidence intervals, variance, and maximum likelihood approach.

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Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.

Explores qualitative factors in Design of Experiments, including statistical tests and error types.

Covers the theory of sampling, focusing on statistics for mathematicians.

Explores copulas for measuring dependence strength in distributions and transforming variables to unit Fréchet margins.

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