Sadržaj:
  • Elementary concepts in statistics
  • Basic statistics and tables
  • ANOVA/MANOVA
  • Association rules
  • Boosting trees
  • Canonical analysis
  • CHAID analysis
  • Classification and regression trees (CART)
  • Classification trees
  • Cluster analysis
  • Correspondence analysis
  • Data mining techniques
  • Discriminant function analysis
  • Distribution fitting
  • Experimental design (Industrial DOE)
  • Factor analysis and principal components
  • General discriminant analysis (GDA)
  • General linear models (GLM)
  • General regression models (GRM)
  • Generalized additive models (GAM)
  • Generalized linear/nonlinear models (GLZ)
  • Log linear analysis of frequency tables
  • Machine learning
  • Multivariate adaptive regression splines (MARSplines)
  • Multidimensional scaling (MDS)
  • Multiple linear regression
  • Neural networks
  • Nonlinear estimation
  • Nonparametric statistics
  • Partial least squares (PLS)
  • Power analysis
  • Process analysis
  • Quality control charts
  • Reliabilty/item analysis
  • Structural equation modeling
  • Survival/failure time analysis
  • Text mining
  • Time series/forecasting
  • Variance components and mixed model ANOVA/ANCOVA.