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Statistics : methods and applications : a comprehensive reference for science, industry, and data mining / Thomas Hill, Pawel Lewicki.

By: Contributor(s): Material type: TextTextPublication details: Tulsa, OK : StatSoft, c2006.Description: xvi, 832 p. : ill. ; 23 cmISBN:
  • 1884233597 (pbk.)
  • 9781884233593 (pbk.)
Subject(s): DDC classification:
  • 519.5024658 22
LOC classification:
  • QA276.12 .H56 2006
Contents:
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.
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books KMTC:MURANGA CAMPUS Reference QA276.12 .H56 2006 (Browse shelf(Opens below)) Available MUR 4984

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.

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