Fundamentals of Statistics
contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics...
...click here for more
.
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
Overview
Index N...
Nabla operator
Vector Operators
Nalimov test
Nalimov Test
natural brain
Natural Brains
natural dichotomy
Dichotomous Features
natural spline
Curve Fitting by Splines
neural network
Multi-layer Perceptron
ANN - Back Propagation of Errors
Natural Brains
Common Questions about ANNs
Neural Networks - Extrapolation
Generalization and Overtraining
Growing Neural Networks
ANN - Introduction
Kohonen Networks
Models of ANNs
Neural Networks - Model Selection
RBF Neural Networks
RBF Network as Kernel Estimator
ANN - Recurrent Networks
Taxonomy of ANNs
ANN - Single Processing Unit
Literature References - Neural Networks
Time Series - Neural Network Models
new observations
MLR - Estimation of New Observations
NIPALS algorithm
The NIPALS Algorithm
NMR
Time-Averaging
noise
Physical Origin of Noise
Types of Noise
Signal and Noise
noise addition
Noise Addition
noisy signals
Signal and Noise
nominal scale
Level of Measurement
non-linear model
Exercise - Modeling the NOx Exhaust of an Experimental Motor
non-linear regression
Exercise - Estimation of fish weight from size
non-linear vs. linear
Linear vs. - Nonlinear Models
non-parametric tests
Distribution-Free Tests
Parametric and Non-Parametric Tests
normal distribution
Central Limit Theorem
Normal Distribution
Relationship Between Various Distributions
Exercise - Design a data set showing a normal probability density function
Probability Plot
Shapiro-Wilk Test
normality
Kolmogorov-Smirnov One-Sample Test
Test for Normality
Chi-Square Test
notch filter
Types of Filters
NOx exhaust
Exercise - Modeling the NOx Exhaust of an Experimental Motor
null hypothesis
Hypothesis Testing
null matrix
Zero Matrix
numerical methods
Literature References - Numerical Methods