**Advanced Linear/Nonlinear Models**

Cox Proportional Hazards Models

Generalized Linear/Nonlinear (GLZ) Models

General Partial Least Squares (PLS) Models

General Regression Models (GRM)

Example 1: Descriptive Statistics, t-Tests, and Correlations

Example 2: Breakdown and One-Way ANOVA

Example 4: Stub-and-Banner Tables

Example 5: Crosstabulation Tables

Example 6: Tabulating Multiple Responses and Dichotomies

Example 8: Visually Comparing Variables

Example 9: Using Contingency Tables to Compute Chi-Square Tests for Independence

Example 10: Chi-Square Test for Independence

Batch (ByGroup) Analysis Example

Assign/Remove Keyboard Shortcut Keys

Example 1: A Simple Project for Creating Standard Reports and Summaries

Example 3: Predictive Data Mining and Deployment for a Continuous Output Variable

Example 4: Predictive Data Mining for Categorical Output Variable (Classification)

General Classification and Regression

Generalized Additive Models (GAM)

Generalized EM and k-Means Cluster Analysis

Goodness of Fit, Classification, Prediction

Independent Component Analysis

Interactive Trees (C&RT, CHAID)

Multivariate Adaptive Regression Splines (MARSplines)

Optimal Binning for Predictive Data Mining

Rapid Deployment of Predictive Models

Sequence, Association, and Link Analysis

*STATISTICA* Automated Neural Networks (SANN)

Text & Document Mining, Web Crawling

Distributions & Simulation Example

**Extract, Transform, and Load (ETL)**

Example 1: Aligning Data from a Cyclone Furnace

Example 2: Comparing Historical Stock Prices

Example 3: Aligning Multiple Stages of Process Data

Example 1: Simple Factorial ANOVA with Repeated Measures

Example 2: A 2 x 3 Between-Groups ANOVA Design

Example 3: A 2-Level Between-Group x 4-Level Within-Subject Repeated Measures Design

Creating a Graph of Block Data Using an Analysis Output Spreadsheet as Input

Creating a Graph of Block Data Using an Input Data File

Creating a Graph of Input Data

Creating and Customizing a Simple 2D Graphs Menu Graph

Specifying Multiple Subsets Example

Example 1: Adequacy of Sample Size and Heywood Cases in Factor Analysis

Example 2: Performance of GLS and ML Estimation in the Comparison of Correlation Matrices

Example 1: Standard Regression Analysis

Example 2: Stepwise Regression Analysis

**Multivariate Exploratory Techniques**

General Discriminate Analysis (GDA)

Principal Components & Classification

**Multivariate Statistical Process Control (MSPC)**

Example 3: Observed vs. Expected Chi-Square

Example 5: Wald-Wolfowitz Runs Test, Mann-Whitney U Test, Kolmogorov-Smirnov Two-Sample Test

Example 6: Kruskal-Wallis ANOVA & Median Test

Example 7: Friedman ANOVA & Kendall Concordance

Example 8: Wilcoxon Matched Pairs Test

Example 10: Descriptive Statistics

**PLS, PCA, Multivariate/Batch SPC**

Principal Components Analysis (PCA)

Time-Wise Multi-Way Principal Component Analysis (TMPCA)

Example 1: Power and Sample Size Calculation for the Independent Sample t-Test

Example 2: Analyzing Power, Sample Size, and Effect Size in 1-Way ANOVA

Example 3: Sample Size Calculation in Factor Analysis

Example 4: Power and Sample Size in Complex Factorial ANOVA

Example 5: Power Calculation in a 1-Way Repeated Measures ANOVA

Example 6: Hypotheses About the Noncentrality Parameter of the F Distribution

Example 7: Constructing a Confidence Interval on the Noncentrality Parameter

Example 8: Power of Nonstandard Significance Tests in the Analysis of Variance

Example 9: Exact Tests and Confidence Intervals for the Correlation Coefficient

Example 10: Confidence Intervals and Special Tests on the Multiple Correlation

Querying a Database Using ODBC

Querying a Database Using OLE DB

Macro (SVB) Program Examples Overview

**Variance Estimation and Precision**

Example 1: Balanced and Unbalanced Two-Way Mixed Models

Example 2: Variance Component Estimation for a Four-Way Mixed Factorial Design

Example 3: Variance Component Estimation for a Hierarchically Nested Random Design

Example 4: Estimating the Population Intraclass Correlation in Variance Estimation and Precision

Example 5: Analyzing a Nested Mixed Model

Adding the Current Item to a Workbook

Adding a New *STATISTICA* Document to a Workbook

Adding a Saved *STATISTICA* Document to a Workbook

Adding an ActiveX Document to a Workbook

Adding a Previously Saved Object to a Workbook

Deleting Items from a Workbook

Extracting a File from a Workbook