Outlier Analysis

Related lectures (23)

Page 1 of 3

Discusses predicting future behavior, identifying outliers, and improving model specification.

Delves into human decision-making beyond rationality, exploring concepts like the decoy effect.

Explores choice models to predict consumer behavior and market shares.

Covers the theoretical foundations of choice theory, decision makers, alternatives, attributes, decision rules, utility, and behavioral assumptions.

Explores how choice modeling predicts human behavior and quantifies preferences in various scenarios.

Explores the Optima case study, analyzing attitudes and mode choice.

Covers multicollinearity, outliers, model specification, and practical strategies in linear regression.

Presents a simple example of developing a model with a focus on variables and causal relationships.

Covers the theoretical foundations of choice theory and its key components for decision making.

Introduces Discrete Choice Analysis, covering scale, depth, data collection, and statistical inference.