Regression Methods and Problem Banks (UMAP)

This module is designed to help the students understand regression analysis. A model (using real data) is developed to identify potential problem banks. In applying the model, the student is introduced to many techniques that are commonly required in practice. The application itself is also of importance.

Table of Contents:

1. INTRODUCTION

2. OUTLYING DATA POINTS

3. M-ESTIMATORS, THE UNIVARIATE CASE

4. M-ESTIMATORS, THE GENERAL LINEAR REGRESSION MODEL

5. PROBLEM BANK IDENTIFICATION

6. PROBLEM BANK MODEL STUDY

APPEDIX 1: DATA SETS

APPENDIX 2: COMPUTER PROGRAM

BIBLIOGRAPHY