Lecture
Likelihood Ratio Test: Hypothesis Testing
Related lectures (47)
Statistical Models: Basics & Applications
Covers statistical concepts like probability, estimation, hypothesis testing, and confidence intervals for mathematicians.
Probability and Statistics
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Likelihood Ratio Test: Neyman-Pearson Lemma
Explores likelihood ratio tests and the Neyman-Pearson Lemma for statistical hypothesis testing.
Eigenstate Thermalization Hypothesis
Explores the Eigenstate Thermalization Hypothesis in quantum systems, emphasizing the random matrix theory and the behavior of observables in thermal equilibrium.
Statistical Tests for Exponential Families
Covers the optimal statistical tests for exponential families and the use of approximations in hypothesis testing.
Statistical Hypothesis Testing: Unilateral and Bilateral Pairs
Explores unilateral and bilateral pairs in statistical hypothesis testing, covering critical values, test statistics, and p-values.
Normal Distribution: Properties and Calculations
Covers the normal distribution, including its properties and calculations.
Estimation of Theoretical Frequencies
Covers the estimation of theoretical frequencies and independence testing between two characteristics, with examples for practical application.
Binary Covariate Impact: 2x2 Contingency Tables
Explores the impact of a binary covariate on binary responses using 2x2 tables.
Confidence Intervals and T-Test
Explores confidence intervals, T-test, and hypothesis testing, including assumptions and critical regions.