Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more.

## Index O...

 object Observations and Variables objective function Optimization - Introduction Optimization - Response Function objects Data Matrices observation Observations and Variables omnibus test Runs Test one sample chi-square test One Sample Chi-Square-Test one-sample t-test One-Sample t-Test - Large Samples One-Sample t-Test - Small Samples One-Sample t-Test one-sided tests One-Sided vs. Two-Sided Tests optimization Optimization - Introduction Optimization Methods Optimization Methods - Brute Force Approach Optimization Methods - Genetic Algorithms Optimization Methods - Gradient Descent Optimization Methods - Monte Carlo Simulations Optimization - Response Function Optimization - Visualization of the Response Function Simplex Algorithm order of a matrix Matrix Algebra - Fundamentals ordinal association Kendall's Tau-a ordinal scale Level of Measurement orthogonal Orthogonality orthonormal Orthogonality outlier Nalimov Test Significance of Outliers outliers Scatter, Covariance, and Correlation Matrix Outliers Outlier Tests Outlier Tests - Basic Rules Outlier Test - Dean and Dixon Exercise - Create a Data Set with Outliers Walsh's Outlier Test Grubbs' Outlier Test overfitting Generalization and Overtraining overtraining Generalization and Overtraining