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Related lectures (29)

Page 3 of 3

Hypothesis Testing and Confidence Intervals: Key Concepts

Provides an overview of hypothesis testing and confidence intervals in statistics, including practical examples and key concepts.

Heavy-Tailed Distributions

Explores heavy-tailed distributions, the Hill estimator, convergence to Gaussian, and distribution comparison.

Price Returns Analysis

Covers the analysis of heavy-tailed price returns and clustered volatility in financial data.

Hypothesis Testing: T-Test and Chi-Square Test

Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.

Hypothesis Testing and Confidence Intervals: An Overview

Covers hypothesis testing, confidence intervals, and their applications in statistics.

Optimality in Decision Theory: Unbiased Estimation

Explores optimality in decision theory and unbiased estimation, emphasizing sufficiency, completeness, and lower bounds for risk.

Confidence Intervals and Pivotal Quantities

Explores pivotal quantities in statistics and their role in constructing confidence intervals and hypothesis tests.

Continuous Random Variables: Distributions and Expectation

Explores various continuous probability distributions and expectation of random variables.

Statistical Theory: Inference and Sufficiency

Explores statistical inference, sufficiency, and completeness, emphasizing the importance of sufficient statistics and the role of complete statistics in data reduction.