Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Statistical Tests: Wald and p-values
Graph Chatbot
Related lectures (32)
Previous
Page 2 of 4
Next
Bayesian Statistics: Hypothesis Testing and Estimation
Covers hypothesis testing, p-values, significance levels, and Bayesian estimation.
Likelihood Ratio Test: Hypothesis Testing
Explores hypothesis testing, emphasizing the likelihood ratio test and its applications in statistical analysis.
Frame Synchronization: Systematic Derivation with Likelihood Test
Covers the systematic derivation of a synchronization algorithm with a generalized likelihood test in wireless receivers.
Maximum Likelihood Estimation: Econometrics
Introduces Maximum Likelihood Estimation in econometrics, covering principles, properties, applications, and specification tests.
Hypothesis Testing: Wilks' Theorem and P-Value
Explores hypothesis testing, Wilks' theorem, p-values, confidence intervals, and pivotal quantities.
Statistical Theory: Inference and Optimality
Explores constructing confidence regions, inverting hypothesis tests, and the pivotal method, emphasizing the importance of likelihood methods in statistical inference.
Statistical Hypothesis Testing
Covers statistical hypothesis testing, likelihood estimation, and confidence intervals construction.
Statistical Inference
Covers likelihood ratio statistic, confidence intervals, and hypothesis testing concepts.
Detection & Estimation
Covers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
Chi-Square Test: Independence Hypothesis
Explains the Chi-Square test for independence hypothesis and its practical applications.