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Related lectures (32)

Page 3 of 4

Binary Choice Model

Covers the binary choice model, error term assumptions, specific constants, invariances, and distribution properties.

Failure Modes in MicroNanosystems: Understanding Fatigue and Fracture Strength

Explores fatigue and fracture strength in MicroNanosystems, covering fluctuating loads, endurance limits, and temperature effects.

Model Specification: The Error Term

Delves into the binary choice model, error term specification, and Extreme Value distribution properties.

Extreme Value Theory: Maximum Distribution

Explores extreme value theory, focusing on maximum distribution and different types of distributions based on shape parameters.

Birth Month Impact on Athlete Success

Investigates how birth month influences athlete success, analyzing Japanese athletes' dataset to explore trends in birthdates and occupations.

Modern Regression: Applications and Examples

Explores the EM algorithm, extreme-value distribution fitting, and seasonal decomposition in regression models.

Fracture Mechanics: Crack Growth and Weakest Link

Explores fracture mechanics, crack growth, and the weakest link theory, emphasizing the statistical distribution of crack sizes and the significance of the largest crack in material failure.

Estimation: Mean-Squared Error and Fisher Information

Explains estimation through mean-squared error and Fisher information in the context of adaptive filters and exponentiated distributions.

Extreme Region Likelihood Estimation

Covers extreme region likelihood estimation, model complexity, oceanographic data modeling, and threshold likelihood estimation.

Nonparametric Estimation: Empirical Likelihood Approach

Explores nonparametric estimation using the empirical likelihood approach and discusses the computation of probabilities and empirical estimation.