Bivariate Maxima: Parametric Models and Distributions

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Introduces probability, estimation methods, linear models, testing, and advanced regression techniques.

Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.

Covers statistics, experimental design, errors, distributions, implications of sample size, and null results.

Covers distributions and techniques in Quantitative Risk Management for financial modeling.

Covers distributions, interpolation spaces, convergence, and the concept of dual spaces.

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Explores completeness, minimal sufficiency, and special statistical models, focusing on exponential and transformation families.

Covers the binary choice model, error term assumptions, specific constants, invariances, and distribution properties.