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