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MARK 9650: Applied Multivariate Methods

 

 

 

Syllabus

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     ·  Spring 2002 Syllabus

 

Course Notes

 

     ·  Course Notes 1

     ·  Course Notes 2

     ·  Course Notes 3

     ·  Course Notes 4

 

 

Data Sets

Save target on drive a: of your computer to use *problem-free* with attached SAS files 

 

     ·  Full HATCO Data Set (HATCO_SET.PRN)

     ·  HATCO Analysis Sample Data Set (HATCO2.TXT)

     ·  HATCO Holdout Sample Data Set (HATCO3.TXT)

     ·  Japanese Seishu Wine Data Set (SEISHU.PRN)

     ·  Athletics Track Records Data Set (TRACK.PRN)

     ·  Utility Company Data Set (UTILITY.PRN)

     ·  Breakfast Cereal Data Set (CEREAL.PRN)

     ·  Italian Lasagne Analysis Sample Data Set (LAS_ANALY.PRN)

     ·  Italian Lasagne Holdout Sample Data Set (LAS_HOLDOUT.PRN)

 

SAS Program Examples

 

     ·  Example 1A: Examination Of HATCO Data

     ·  Example 1B: Examination Of "Awkward" Data

     ·  Example 2A: Factor Analysis On HATCO Data

     ·  Example 3A: Cluster Analysis On HATCO Data (2-Cluster Solution)

     ·  Example 3B: Cluster Analysis On HATCO Data (4-Cluster Solution)

     ·  Example 4A: Discriminant Analysis On HATCO Specification Buying (X11) Variable

     ·  Example 4B: Discriminant Analysis On HATCO Buying Situation (X14) Variable

     ·  Example 4C: Discriminant Analysis Using HATCO Factor Scores

     ·  Example 5A: Logistic Regression On HATCO Data  

     ·  Example 5B: Logistic Regression Using HATCO Factor Scores

 

Homework & Project Solutions

 

     ·  Homework 1

     ·  Homework 1 Solutions

     ·  Homework 2

     ·  Homework 2 Program: Factor Analysis On Seishu Data

     ·  Homework 2 Program Output with Comments

     ·  Homework 3

     ·  Homework 3 Program: Cluster Analysis On Utilities Data

     ·  Homework 3 Program Output with Comments

     ·  Project 1

     ·  Project 1 Program: Factor Analysis On Track Data

     ·  Project 1 Factor Analysis Output with Comments

     ·  Project 1 Program: Cluster Analysis On Cereal Data

     ·  Project 1 Cluster Analysis Output with Comments

     ·  Project 2

     ·  Project 2 Program: Discriminant Analysis With Equal Misclassification

     ·  Project 2 Program: Discriminant Analysis With Weighted Misclassifications

     ·  Project 2 Program: Logistic Regression With Varying Misclassification Rates

   

 

 

 

 





  
  
  
  

 

 

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Friday, April 30, 2004 :: 09:48:28 PM