Gamma distribution

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Page 3 of 4

Covers statistical estimation methods and explores practical examples of parameter estimation for different distributions.

Explores extremal limit theorems and statistical analysis for analyzing extreme events like Venezuela rainfall and Venice data.

Explores time series estimation, spectral representation, and p-variate analysis in depth.

Explores the Bessel equation solution method and the gamma function properties.

Explores mixture models in discrete choice and random parameters estimation results.

Covers the modeling of insurance risk, discussing joint distributions and the impact of accidents.

Introduces the Relevance Vector Machine as a sparse solution to SVM shortcomings.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

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

Covers the properties of Poisson processes and their applications in communication stochastic models.