You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8".
Click here
for further information.
Overview
Index O...
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
object
Observations and Variables
objective function
Optimization - Introduction
Optimization - Response Function
objects
Data Matrices
observation
Observations and Variables
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 scales
Scales
orthogonal
Orthogonality
orthonormal
Orthogonality
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
overfitting
Generalization and Overtraining
overtraining
Generalization and Overtraining
overview, courses
Courses
Last Update: 2004-Oct-30