Statgraphics Centurion XV - Professional Edition

Introduction

Statgraphics Centurion Professional edition adds statistical process control, design of experiments, multivariate methods, time series forecasting, advanced regression modeling, and a new Six Sigma menu.

The Professional edition includes all the functionality of the Standard edition, as well as the following advanced features:

Describe

  • Multivariate Methods - Principal Components, Canonical Correlations, Factor Analysis, Cluster Analysis

Compare

  • Analysis of Variance - General Linear Models

Relate

  • Single Factor  - Calibration Models, Comparison of Regression Lines,
  • Multiple Factors - Regression Model, Selection Nonlinear, Regression Ridge Regression, Partial Least Squares
  • Attribute Data - Logistic Regression, Probit Analysis, Poisson Regression, Negative Binomial Regression
  • Life Data - Parametric Models, Cox Proportional Hazards
  • Classification Methods - Discriminant Analysis, Neural Networks

Forecast

  • User-Specified Model - Box-Jenkins ARIMA Models, Random Walk, Trend Models, Moving Averages, Simple Exponential Smoothing, Brown’s and Holt’s Linear Smoothing, Quadratic Smoothing, Winter’s Exponential Smoothing
  • Automatic Model Selection

Statistical Process Control

  • Quality Assessment - Pareto Analysis, QFD Matrix, Cost-of-Quality Trend Analysis, Cause-and-Effect Diagram, Process Map
  • Capability Analysis - Variables, Individuals and Grouped Data, Multivariate Capability, Attributes, Percent Defective, Defects per Unit
  • Control Charts
  • Variables - X-bar and R X-bar, X-bar and S-squared, X-Bar and S, Median and Range, Individuals
  • Attributes - p-Chart and np-Chart, u-Chart and c-Chart
  • Time-Weighted Control Charts - Moving Average Charts, EWMA Charts, CuSum Charts (V-Mask & Tabular)
  • Multivariate Control Charts - T-Squared Chart, Multivariate EWMA Chart
  • Special Purpose Control Charts - ARIMA Charts Acceptance Charts, Toolwear Charts Cuscore Charts
  • Gage Studies -  Gage Study Setup, Variable Data, Average and Range Method,  ANOVA Method Range Method, Gage Linearity and Accuracy, Attribute Data, Risk Analysis Method Signal Theory Method, Analytic Method
  • Acceptance Sampling -  Attributes & Variables

Design of Experiments

  • Design Creation - Create New Design, Screening Designs, Response Surface Designs, Mixture Designs, D-Optimal Designs, Inner/Outer Arrays, Designs for Categorical Data, Variance Component Designs, Augment Existing Design, Optimise Design (D-Optimality), Convert Data File to Design File
  • Design Analysis - Analyze Design, Multiple Response Optimisation
  • SnapStats - Capability Assessment Gage, R&R Automatic Forecasting
  • Tools - Control Chart Design Six Sigma Calculator Screening Design Selection
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