Alan J. Izenman
Springer New York
e druk, 2016
9781493938322
Modern Multivariate Statistical Techniques
Regression, Classification, and Manifold Learning
Specificaties
Paperback, blz.
|
Engels
Springer New York |
e druk, 2016
ISBN13: 9781493938322
Rubricering
Onderdeel van serie
Springer Texts in Statistics
Levertijd ongeveer 8 werkdagen
Samenvatting
This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.
Specificaties
ISBN13:9781493938322
Taal:Engels
Bindwijze:paperback
Uitgever:Springer New York
Inhoudsopgave
Preface. – Introduction and preview. – Data and databases. – Random vectors and matrices. – Nonparametric density estimation. – Multiple regression and model assessment. – Multivariate regression. – Linear dimensionality reduction. – Linear discriminant analysis. – Recursive partitioning and decision trees. – Artificial nueral networks. – Support vector machines. – Cluster analysis. – Multidimensional scaling and distance geometry. – Committee machines. – Nonlinear dimensionality reduction. – Wavelets. – Correspondence analysis. – Notation and mathematical results. – References.