Statistics : methods and applications : a comprehensive reference for science, industry, and data mining /
Hill, Thomas, 1948-
Statistics : methods and applications : a comprehensive reference for science, industry, and data mining / Thomas Hill, Pawel Lewicki. - Tulsa, OK : StatSoft, c2006. - xvi, 832 p. : ill. ; 23 cm.
Includes bibliographical references and index.
Elementary concepts in statistics -- Basic statistics and tables -- ANOVA/MANOVA -- Association rules -- Boosting trees -- Canonical analysis -- CHAID analysis -- Classification and regression trees (CART) -- Classification trees -- Cluster analysis -- Correspondence analysis -- Data mining techniques -- Discriminant function analysis -- Distribution fitting -- Experimental design (Industrial DOE) -- Factor analysis and principal components -- General discriminant analysis (GDA) -- General linear models (GLM) -- General regression models (GRM) -- Generalized additive models (GAM) -- Generalized linear/nonlinear models (GLZ) -- Log linear analysis of frequency tables -- Machine learning -- Multivariate adaptive regression splines (MARSplines) -- Multidimensional scaling (MDS) -- Multiple linear regression -- Neural networks -- Nonlinear estimation -- Nonparametric statistics -- Partial least squares (PLS) -- Power analysis -- Process analysis -- Quality control charts -- Reliabilty/item analysis -- Structural equation modeling -- Survival/failure time analysis -- Text mining -- Time series/forecasting -- Variance components and mixed model ANOVA/ANCOVA.
1884233597 (pbk.) 9781884233593 (pbk.)
2009279196
GBA635090 bnb
013372031 Uk
Statistics.
Commercial statistics.
Statistics
Models, Statistical
Statistique.
Ingénierie--Méthodes statistiques.
Statistique industrielle.
Sciences--Méthodes statistiques.
Informatique--Méthodes statistiques.
QA276.12 / .H56 2006
519.5024658
Statistics : methods and applications : a comprehensive reference for science, industry, and data mining / Thomas Hill, Pawel Lewicki. - Tulsa, OK : StatSoft, c2006. - xvi, 832 p. : ill. ; 23 cm.
Includes bibliographical references and index.
Elementary concepts in statistics -- Basic statistics and tables -- ANOVA/MANOVA -- Association rules -- Boosting trees -- Canonical analysis -- CHAID analysis -- Classification and regression trees (CART) -- Classification trees -- Cluster analysis -- Correspondence analysis -- Data mining techniques -- Discriminant function analysis -- Distribution fitting -- Experimental design (Industrial DOE) -- Factor analysis and principal components -- General discriminant analysis (GDA) -- General linear models (GLM) -- General regression models (GRM) -- Generalized additive models (GAM) -- Generalized linear/nonlinear models (GLZ) -- Log linear analysis of frequency tables -- Machine learning -- Multivariate adaptive regression splines (MARSplines) -- Multidimensional scaling (MDS) -- Multiple linear regression -- Neural networks -- Nonlinear estimation -- Nonparametric statistics -- Partial least squares (PLS) -- Power analysis -- Process analysis -- Quality control charts -- Reliabilty/item analysis -- Structural equation modeling -- Survival/failure time analysis -- Text mining -- Time series/forecasting -- Variance components and mixed model ANOVA/ANCOVA.
1884233597 (pbk.) 9781884233593 (pbk.)
2009279196
GBA635090 bnb
013372031 Uk
Statistics.
Commercial statistics.
Statistics
Models, Statistical
Statistique.
Ingénierie--Méthodes statistiques.
Statistique industrielle.
Sciences--Méthodes statistiques.
Informatique--Méthodes statistiques.
QA276.12 / .H56 2006
519.5024658