STATISTICA Data Miner Technical White Papers Table of Contents

• Categorical Predictors in STATISTICA Data Miner Regression Trees
  
• Missing Data in STATISTICA Data Miner
  
• Stability of Trees in STATISTICA Data Miner
  
• Weighted Means Option in Repeated Measures Analysis (GLM)
  
• What is Data Mining, and How is it Useful for Power Plant Optimization?
  
• Why There is No Deployment Script for GAM

STATISTICA Technical White Papers Table of Contents

• Analysis of a Split-Plot Design in STATISTICA
  
• Binning/Categorization of Data in STATISTICA
  
• Boosting as a General Technique
  
• Duncan's Test: Differences in Version 5.5 and 6.1
  
• Icon Plots in STATISTICA
  
• Invalid Codes Found in Grouping Variable
  
• Johnson Curve: Differences in Version 5.5 and 6.1 in Process Analysis
  
• Plackett-Burman Designs vs. Standard Fractional Factorial Designs
  
• Random Number Generation in STATISTICA
  
• Programming STATISTICA from .NET

STATISTICA Data Miner Technical White Papers     Categorical Predictors in STATISTICA Data Miner Regression Trees     Missing Data in STATISTICA Data Miner     Stability of Trees in STATISTICA Data Miner     Weighted Means Option in Repeated Measures Analysis (GLM)     What is Data Mining, and How is it Useful for Power Plant Optimization?     Why There is No Deployment Script for GAM STATISTICA Technical White Papers     Analysis of a Split-Plot Design in STATISTICA     Binning/Categorization of Data in STATISTICA     Boosting as a General Technique     Duncan's Test: Differences in Version 5.5 and 6.1     Icon Plots in STATISTICA     Invalid Codes Found in Grouping Variable     Johnson Curve: Differences in Version 5.5 and 6.1 in Process Analysis     Plackett-Burman Designs vs. Standard Fractional Factorial Designs     Programming STATISTICA from .NET     Random Number Generation in STATISTICA     Using R Programs within STATISTICA

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