Quantitative Methods 

Master in Business Administration and Quantitative Methods

Second term 2013-14

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Greetings

Class Slides

• Talk 0:  Program of Lectures

• Talk 1: An Introduction to Sampling Techniques (printable pdf version)
          Tutorial: A Brief Introduction to Basic Programming with R

• Talk 2: Simple Random Sampling and Systematic Sampling (printable pdf version)

• Talk 3: Stratified Random Sampling (printable pdf version)

• Talk 4: Introduction to Ratio and Regression Estimation (printable pdf version)

• Talk 5: Cluster Sampling (printable pdf version) (Data for practice in Stata format)
  

• Talk 6: Introduction to Data Mining (printable pdf version)

• Talk 7: Some Techniques in Data Mining (printable pdf version) (Data for practice in ascii format)

Resources for R and Stata

         R

      . Main Web Page of R

        . Downloading R

        . RStudio editor and framework for R

        . Official Manuals for R

        . Contributed manuals and tutorials for R

        . Quick R

        . Advanced Tutorial for R

        . MatLab and R Reference

        . Libraries of R for Machine Learning

        . Libraries of R for Statistics for the Social Sciences

        . Libraries of R for Survey Sampling

             Stata

        . Reference Card for Stata

        . Stata for surveys

 

  Numerical computation and Data Mining (Freeware)

        . OCTAVE:  Free program with same syntax as MatLab

        . SCILAB:  Numerical Calculus Program similar to MatLab

        . Rattle        

        . Weka 
 

HomeWorks

• HomeWork 1

• HomeWork 2

• HomeWork 3 (DataFile)
  

Exams of Past Years

• Exam 2009

• Exam 2010

• Exam 2011
  

• Exam 2012

Complements

• Sampling Theory (V. Slud)

• Survey analysis in R (T. Lumley)

• Data Mining principles (P. Lucas)

• Data Mining with Rattle and R (G. Williams)