Maximum Likelihood Estimation: Multivariate Statistics
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Explores statistical tests for independence and homogeneity, including chi-square tests and Fisher's exact test, with practical examples and applications.
Covers ANOVA method, focusing on partitioning total sum of squares into treatment and error components, mean square calculations, Fisher statistic, and F-distribution.
Explores optimal testing methods in statistics, focusing on the Neyman-Pearson framework and the construction of test functions for different types of hypotheses.
