Applied Multivariate Statistics in Geohydrology and Related Sciences
Autor Charles E. Brownen Limba Engleză Paperback – 16 dec 2011
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Specificații
ISBN-13: 9783642803307
ISBN-10: 364280330X
Pagini: 272
Ilustrații: XIX, 248 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.39 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 364280330X
Pagini: 272
Ilustrații: XIX, 248 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.39 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Professional/practitionerCuprins
I Introduction to General Statistical and Multivariate Concepts.- 1 General Concepts.- 2 Introduction to Multivariate Statistical Procedures.- II Variable-Directed Procedures Based on Normal Distribution Assumptions.- 3 Correlation.- 4 Factor Analysis.- 5 Canonical Correlation.- 6 Multiple Regression.- 7 Multivariate Analysis of Variance.- 8 Multivariate Analysis of Covariance.- III Variable-Directed Techniques not Based on Normal Distribution Assumptions.- 9 Principal Components.- IV Individual-Directed Techniques Based on Normal Distribution Assumptions.- 10 Multiple Discriminant Analysis.- V Individual-Directed Techniques not Based on Normal Distribution Assumptions.- 11 Cluster Analysis.- 12 Multiple Logistic Regression.- VI Other Approaches to Explore Multivariate Data.- 13 Coefficient of Variation.- 14 Correspondence Analysis.- 15 Multivariate Probit Analysis.- VII Multivariate Measures of Space, Distance, and Time.- 16 Multivariate Time Series Modeling.- 17 Multivariate Spatial Measures.- VIII Multivariate Data Preparation, Plotting, and Conclusions.- 18 Multivariate Data Preparation and Plotting.- 19 Summary and Generalizations of Multivariate Quantitative Procedures.- Appendix Introduction to Numerical Analysis.- A.1 General Concepts.- A.2 Solution of Simultaneous Linear Algebraic Equations.- A.2.1 Sets of Linear Equations.- A.2.2 Calculations in Matrix Algebra.- A.2.3 Definitions and Notation.- A.2.4 Basic Matrix Operations.- A.2.4.1 Comparison of Matrices.- A.2.4.2 Matrix Addition and Subtraction.- A.2.4.3 Matrix Multiplication.- A.2.4.4 Transposition.- A.2.4.5 Partitioning.- A.2.5 Matrix Inversion.- A.2.5.1 Inverse.- A.2.5.2 Computation of Inverse.- A.2.6 Eigenvalues and Eigenvectors of a Matrix.- A.2.7 Matrix Algebra and Solution of Simultaneous Linear Equations.- A.2.8 Direct Methods: Gaussian Elimination.- A.2.9 Indirect Methods: Gauss-Seidel Iteration.- A.3 Multivariate Normal Distribution in Matrix Form.- References.- Author Index.
Caracteristici
Broad coverage of target groups (geoscientists, biologists) Unique application in multivariate statistics