George Fernandez

Director/ Center for Research Design and Analysis (CRDA) /ms 088

 

Professor of applied  Statistics

University of Nevada   Reno NV 89557

(775) 784-4206

 

 Linear and Non-Linear Regression Models

Office:

Center for Research Design and Analysis (CRDA) /SFB 100F

Office hours:

   

Text books:

George Fernandez  (2002) Data mining using SAS applications   CRC / Chapman &Hall USA  (Required)

Reference

 J. Neter et al. (1996). Applied Linear Regression Models. Richard D. Irwin Inc

  Objectives:

   a) To study the principles and procedures of data exploration, Linear and non-linear Regression and classification Models used in Data Mining

    b) To learn the steps involved in performing quick and complete  results using "SAS 9.1" macros- (Windows)   version.

Course Topics

1. DATA MINING – A GENTLE INTRODUCTION

2. PREPARING DATA FOR DATA MINING

3. EXPLORATORY DATA ANALYSIS (Optional)

4. SUPERVISED LEARNING METHODS –PREDICTION using ML regression

5.   SUPERVISED LEARNING METHODS –PREDICTION using BL regression