Binomial type

Related lectures (8)

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Explores moment generating functions and multivariate normal distributions in probability and statistics.

Explores the estimation of R using moments and cumulants in extreme value analysis.

Explores moment-generating functions, linear combinations, and normality of random variables.

Explores generating functions for moments and cumulants, showcasing their role in distribution analysis.

Covers moment generating function, cumulants, Laplace transform, and Fourier transform in probability theory.

Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.

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

Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.