Extreme Optimization > User's Guide > Statistics Library
Extreme Optimization User's Guide
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Note: This documentation is preliminary and shows only a portion of the final User's Guide.
1 Introduction
2 Statistical Variables
3 Continuous Variables
3.1 Numerical Variables 3.2 Transforming Numerical Variables 3.3 Time Variables
4 Categorical Variables
4.1 Categorical Scales 4.2 Numerical Scales 4.3 Date/Time Scales 4.4 Categorical Variables
5 Variable Collections
5.1 Key Variables 5.2 Variable Collections
6 General Linear Models
7 Regression Analysis
7.1 Simple Linear Regression 7.2 Multiple Linear Regression 7.3 Polynomial Regression 7.4 Nonlinear Regression 7.5 Logistic Regression
8 Analysis of Variance
8.1 ANOVA Models 8.2 One-way ANOVA 8.3 One-way ANOVA with Repeated Measures 8.4 Two-way ANOVA
9 Time Series Analysis
9.1 Time Series Collections 9.2 Transforming the Frequency
10 Continuous Probability Distributions
10.1 Continuous Distributions 10.2 The Beta Distribution 10.3 The Cauchy Distribution 10.4 The Chi-Square Distribution 10.5 The Erlang Distribution 10.6 The Exponential Distribution 10.7 The F Distribution 10.8 The Gamma Distribution 10.9 The Gumbel Distribution 10.10 The Laplace Distribution 10.11 The Logistic Distribution 10.12 The Lognormal Distribution 10.13 The Normal Distribution 10.14 The Pareto Distribution 10.15 The Rayleigh Distribution 10.16 Student's T Distribution 10.17 The Triangular Distribution 10.18 The Continuous Uniform Distribution 10.19 The Weibull Distribution
11 Discrete Probability Distributions
11.1 The Bernoulli Distribution 11.2 The Binomial Distribution 11.3 The Geometric Distribution 11.4 The Hypergeometric Distribution 11.5 The Negative Binomial Distribution 11.6 The Poisson Distribution 11.7 The Discrete Uniform Distribution
12 Hypothesis Tests
12.1 Hypothesis Test Basics 12.2 Testing Means 12.3 Testing Variances 12.4 Testing Goodness-of-Fit 12.5 Testing Homogeneity of Variances
13 Histograms
14 Random Numbers
14.1 Random Number Generators 14.2 Quasi-Random Sequences 14.3 Random Enumerators
15 Appendices
15.1 Exception Types 15.2 Enumeration Types
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"The Extreme Optimization Statistics Library for .NET is a major boon for those doing statistical work in .NET. I strongly recommend this product."- Marc Brooks
"I have made it my mission to institutionalize the value of good API design. I strongly believe that this is key to making developers more productive and happy on our platform. It is clear that you value good API design in your work, and take to heart developer productivity and synergy with the .NET framework." - Brad Abrams, Lead Program Manager, Microsoft.