Ebook: Applied Multivariate Statistics in Geohydrology and Related Sciences

It has been evident from many years of research work in the geohydrologic sciences that a summary of relevant past work, present work, and needed future work in multivariate statistics with geohydrologic applications is not only desirable, but is necessary. This book is intended to serve a broad scientific audience, but more specifi­ cally is geared toward scientists doing studies in geohydrology and related geo­ sciences.lts objective is to address both introductory and advanced concepts and applications of the multivariate procedures in use today. Some of the procedures are classical in scope but others are on the forefront of statistical science and have received limited use in geohydrology or related sciences. The past three decades have seen a significant jump in the application of new research methodologies that focus on analyzing large databases. With more general applications being developed by statisticians in various disciplines, multivariate quantitative procedures are evolving for better scientific applica­ tion at a rapid rate and now provide for quick and informative analyses of large datasets. The procedures include a family of statistical research methods that are alternatively called "multivariate analysis" or "multivariate statistical methods".

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This book provides a background in multivariate statistical techniques in geohydrology and environmental statistics. It is organised in broad categories, which cover procedures that deal with interrelations among objects and samples and the interrelations of variables. The headings are further subdivided into techniques that require multivariate normal data and techniques that do not. It can be used as a textbook, a reference book for a graduate seminar, or key reference in libraries at earth science agencies and other institutions.

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This book provides a background in multivariate statistical techniques in geohydrology and environmental statistics. It is organised in broad categories, which cover procedures that deal with interrelations among objects and samples and the interrelations of variables. The headings are further subdivided into techniques that require multivariate normal data and techniques that do not. It can be used as a textbook, a reference book for a graduate seminar, or key reference in libraries at earth science agencies and other institutions.
Content:
Front Matter....Pages I-XIX
Front Matter....Pages 1-1
General Concepts....Pages 3-12
Introduction to Multivariate Statistical Procedures....Pages 13-22
Front Matter....Pages 23-23
Correlation....Pages 25-36
Factor Analysis....Pages 37-51
Canonical Correlation....Pages 53-60
Multiple Regression....Pages 61-77
Multivariate Analysis of Variance....Pages 79-91
Multivariate Analysis of Covariance....Pages 93-99
Front Matter....Pages 101-101
Principal Components....Pages 103-111
Front Matter....Pages 113-113
Multiple Discriminant Analysis....Pages 115-128
Front Matter....Pages 129-129
Cluster Analysis....Pages 131-146
Multiple Logistic Regression....Pages 147-151
Front Matter....Pages 153-153
Coefficient of Variation....Pages 155-157
Correspondence Analysis....Pages 159-166
Multivariate Probit Analysis....Pages 167-169
Front Matter....Pages 171-171
Multivariate Time Series Modeling....Pages 173-189
Multivariate Spatial Measures....Pages 191-198
Front Matter....Pages 199-199
Multivariate Data Preparation and Plotting....Pages 201-212
Summary and Generalizations of Multivariate Quantitative Procedures....Pages 213-223
Back Matter....Pages 225-249

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This book provides a background in multivariate statistical techniques in geohydrology and environmental statistics. It is organised in broad categories, which cover procedures that deal with interrelations among objects and samples and the interrelations of variables. The headings are further subdivided into techniques that require multivariate normal data and techniques that do not. It can be used as a textbook, a reference book for a graduate seminar, or key reference in libraries at earth science agencies and other institutions.
Content:
Front Matter....Pages I-XIX
Front Matter....Pages 1-1
General Concepts....Pages 3-12
Introduction to Multivariate Statistical Procedures....Pages 13-22
Front Matter....Pages 23-23
Correlation....Pages 25-36
Factor Analysis....Pages 37-51
Canonical Correlation....Pages 53-60
Multiple Regression....Pages 61-77
Multivariate Analysis of Variance....Pages 79-91
Multivariate Analysis of Covariance....Pages 93-99
Front Matter....Pages 101-101
Principal Components....Pages 103-111
Front Matter....Pages 113-113
Multiple Discriminant Analysis....Pages 115-128
Front Matter....Pages 129-129
Cluster Analysis....Pages 131-146
Multiple Logistic Regression....Pages 147-151
Front Matter....Pages 153-153
Coefficient of Variation....Pages 155-157
Correspondence Analysis....Pages 159-166
Multivariate Probit Analysis....Pages 167-169
Front Matter....Pages 171-171
Multivariate Time Series Modeling....Pages 173-189
Multivariate Spatial Measures....Pages 191-198
Front Matter....Pages 199-199
Multivariate Data Preparation and Plotting....Pages 201-212
Summary and Generalizations of Multivariate Quantitative Procedures....Pages 213-223
Back Matter....Pages 225-249
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