Chemometrics Statistics and Computer Application in Analytical Chemistry By Matthias Otto 3rd Edition (informative)

Free download Chemometrics Statistics and Computer Application in Analytical Chemistry By Matthias Otto 3rd Edition
3rd Edition
Authors of: Chemometrics Statistics and Computer Application in Analytical Chemistry By Matthias Otto 3rd Edition
Matthias Otto
Table of Contents in Chemometrics Statistics and Computer Application in Analytical Chemistry By Matthias Otto 3rd Edition
List of Abbreviations VII
Symbols IX
1 What is Chemometrics?
1.1 The Computer-Based Laboratory
1.2 Statistics and Data Interpretation
1.3 Computer-Based Information Systems/Artificial
Intelligence
General Reading
Questions and Problems
2 Basic Statistics
2.1 Descriptive Statistics
2.2 Statistical Tests
2.3 Analysis of Variance
General Reading
Questions and Problems
3 Signal Processing and Time Series Analysis
3.1 Signal Processing
3.2 Time Series Analysis
General Reading
Questions and Problems
4 Optimization and Experimental Design
4.1 Systematic Optimization
4.2 Objective Functions and Factors
4.3 Experimental Design and Response Surface
Methods
4.4 Sequential Optimization: Simplex Method
General Reading
Questions and Problems
5 Pattern Recognition and Classification
5.1 Preprocessing of Data
5.2 Unsupervised Methods
5.3 Supervised Methods
General Reading
Questions and Problems
6 Modeling
6.1 Univariate Linear Regression
6.2 Multiple Linear Regression
6.3 Nonlinear Methods
General Reading
Questions and Problems
7 Analytical Databases
7.1 Representation of Analytical Information
7.2 Library Search
7.3 Simulation of Spectra
General Reading
Questions and Problems
8 Knowledge Processing and Soft Computing
8.1 Artificial Intelligence and Expert Systems
8.2 Neural Networks
8.3 Fuzzy Theory
8.4 Genetic Algorithms and Other Global Search
Strategies
General Reading
Questions and Problems
9 Quality Assurance and Good Laboratory Practice
9.1 Validation and Quality Control
9.2 Accreditation and Good Laboratory Practice
General Reading
Questions and Problems
Appendix
Index
List of Abbreviations
ACE alternating conditional expectations
ADC analog-to-digital converter
ANFIS adaptive neuro-fuzzy inference system
ANOVA analysis of variance
CART classification and regression trees
CAS chemical abstracts service
CPU central processing unit
CRF chromatographic response function
DAC digital-to-analog converter
DTW dynamic time warping
DWT discrete wavelet transformation
EPA environmental protection agency
ESI electrospray ionization
FA factor analysis
FFT fast Fourier transformation
FHT fast Hadamard transformation
FT Fourier transformation
GC gas chromatography
HORD hierarchically ordered ring description
HOSE hierarchically ordered spherical description of
environment
HPLC high performance liquid chromatography
HT Hadamard transformation
I/O input/output
ICA independent component analysis
IND indicator function
IR infrared
ISO international standardization organization
JCAMP Joint Committee on Atomic and Molecular Data
KNN k-nearest neighbor method
LAN local area network
LDA linear discriminant analysis
LIMS laboratory information management system
VIII List of Abbreviations
LISP list processing language
LLM linear learning machine
MANOVA multidimensional ANOVA
MARS multivariate adaptive regression splines
MCR multivariate curve resolution
MS mass spectrometry
MSDC mass spectrometry data center
MSS mean sum of squares
NIPALS nonlinear iterative partial least squares
NIR near infrared
NIST National Institute of Standards and Technology
NLR nonlinear regression
NMR nuclear magnetic resonance
NPLS nonlinear partial least squares
N-PLS N-way partial least squares
OLS ordinary least squares
OPLS orthogonal partial least squares
PARAFAC parallel factor analysis
PCA principal component analysis
PCR principal component regression
PLS partial least squares
PRESS predictive residual sum of squares
PROLOG programming in logic
RAM random access memory
RDA regularized discriminant analysis
RE real error
ROM read-only memory
RR recovery rate
RSD relative standard deviation
RSM response surface method
SA simulated annealing
SEC standard error of calibration
SEP standard error of prediction
SIMCA soft independent modeling of class analogies
SMILES simplified molecular input line entry specification
SS sum of squares
SVD singular value decomposition
SVM support vector machines
TS Tabu search
TTFA target transformation factor analysis
UV ultraviolet
VIS visual
VM vector machines
WT wavelet transformation
IX
Symbols
Significance level (risk), separation factor, complexity
parameter
A Area
b Breadth (width), regression parameter
2 Quantile of chi-squared distribution
cov Covariance
C Variance covariance matrix
Error, chemical shift
d Distance measure, test statistic of by
Kolmogorov–Smirnov
D Difference test statistic
Dk Cook’s test statistic
Learning coefficient
e Error
E(.) Expectation value
E Residual matrix
f Degree of freedom, function
f (x) Probability density function
F Quantile of Fisher distribution
F(⋅) Function in frequency space
f (t) Function in the time domain
F Matrix of scores
G Geometric mean
G(⋅) Smoothing function in frequency space
g(t) Smoothing function in the time domain
h Communality
H Harmonic mean
H Hat matrix, Hadamard transformation matrix
H0 Null hypothesis
H1 Alternative hypothesis
H(⋅) Filter function in frequency space
h(t) Filter function in the time domain
I Unit step function
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