Wald test

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Provides an overview of hypothesis testing, p-values, Wald test, and non-parametric statistics.

Explores hypothesis testing using Wilks' Theorem, likelihood ratio statistics, p-values, interval estimation, and confidence regions.

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Covers hypothesis testing, p-values, significance levels, and Bayesian estimation.

Explores the General Linear Model, significance testing, model selection, and parameter inference.

Explores logistic regression model interpretation, parameter estimation, and model comparison using likelihood ratio tests.

Covers the optimal statistical tests for exponential families and the use of approximations in hypothesis testing.

Covers likelihood ratio statistic, confidence intervals, and hypothesis testing concepts.

On hypothesis testing explores the Neyman-Pearson framework, test functions, errors, and likelihood ratio tests.

Explores the Cramér-Rao bound, hypothesis testing, and optimality in statistical theory.