Applied Regression Analysis

ISYE-6010

Emphasis is on empirical model building and evaluation for both multiple linear and nonlinear regression models. Topics specifically addressed are simultaneous estimation, diagnostics and remedial measures, selection procedures, locally weighted least squares classification variables, binary response variables, time series data, nonlinear estimation, software packages.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
2022
2021
Applied Regression Analysis (3c)
  • Stanley M. Dunn
Seats Taken: 8/30
2020
Applied Regression Analysis (3c)
  • Stanley M. Dunn
Seats Taken: 3/15
2019
2018
Applied Regression Analysis (3c)
  • Ruth Isabel Murrugarra
Seats Taken: 10/15
2017
Applied Regression Analysis (3c)
  • Stanley M. Dunn
Seats Taken: 29/35
2016
Applied Regression Analysis (3c)
  • Stanley M. Dunn
Seats Taken: 5/15
2015
Applied Regression Analysis (3c)
  • Stanley M. Dunn
Seats Taken: 17/15
2014
2013
2012
2011
2010
2009
2008
2007