Synopses & Reviews
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.
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."
Due to the increasing use of calculators, multivariate statistics are becoming increasingly important in natural science. This book deals with the groundwork and the applications in the fields of geosciences (especially hydrology and biostatistics).
Table of Contents
From the Contents: Introduction to General Statistical and Multivariate Concepts. - Variable Directed Procedures Based on Normal Distribution Assumptions. - Variable - Directed Procedures not Based on Normal Distribution Assumptions. - Individual- Directed Procedures Based on Normal Distribution Assumptions. - Individual - Directed Techniques not Based on Normal Distribution Assumptions. - Other Approaches to Explore Multivariate Data. - Multivariate Measures of Space, Time, and Distance. - Multivariate Data Preparation, Plotting, and Conclusions.