Skip to Main Content

PSTAT227

Download as PDF

PSTAT 227 - Bootstrap and Resampling Methodology

Statistics & Applied Probability College of Letters and Science

Full Course Title

Bootstrap and Resampling Methodology

Course Description

Resampling methods: bootstrap and subsampling. Topics: parametric and nonparametric bootstrap simulation; confidence limit methods; resample significance tests, including Monte Carlo and bootstrap; resampling for improved regression model selection and prediction; diagnostics for bootstrap validity.

Unit Value

4

Maximum number of times course can be repeated for additional credit

99

Maximum Units

99

Prerequisites

PSTAT 207A-B and PSTAT 220A or equivalents.