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Wilks' theorem
Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing
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Related lectures (7)
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Likelihood Ratio Tests: Optimality and Extensions
Covers Likelihood Ratio Tests, their optimality, and extensions in hypothesis testing, including Wilks' Theorem and the relationship with Confidence Intervals.
Likelihood Ratio Test: Hypothesis Testing
Explores hypothesis testing, emphasizing the likelihood ratio test and its applications in statistical analysis.
Hypothesis Testing: Wilks' Theorem
Explores hypothesis testing using Wilks' Theorem, likelihood ratio statistics, p-values, interval estimation, and confidence regions.
Hypothesis Testing: Wilks' Theorem and P-Value
Explores hypothesis testing, Wilks' theorem, p-values, confidence intervals, and pivotal quantities.
Likelihood Ratio Tests: Optimality and Applications
Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.
Decision Rules: Maximum a Posteriori Decision
Explores decision rules based on likelihood ratios and the maximum a posteriori decision.
Asymptotic States and S-matrix: Operators
Explores asymptotic states, S-matrix, and operators in quantum field theory, emphasizing the role of discrete symmetries and complete sets of states.
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