Applied multivariate statistics in geohydrology and related sciences [Libro electrónico] / autor: Charles E. Brown
Por: Brown, Charles E [autor/a].
Tipo de material: Libro en línea Editor: New York, New York, United States: Springer, c1998Descripción: xix, 248 páginas : ilustraciones ; 24 centímetros.ISBN: 3540618279; 9783642803307 (Print); 9783642803284 (Online).Tema(s): Hydrogeology -- Statistical methods | Multivariate analysisNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 233-237 Número de sistema: 56251Contenidos:Mostrar Resumen:Tipo de ítem | Biblioteca actual | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras |
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Libros | Biblioteca Electrónica Recursos en línea (RE) | Acervo General | Recurso digital | ECO400562513885 |
Incluye bibliografía e índice: páginas 233-237
Chapter 1. Introduction to general statistical and multivariate concepts.. Chapter 2. Variable-directed procedures based on normal distribution assumptions.. Chapter 3. Variable-directed techniques not based on normal distribution assumptions.. Chapter 4. Individual-directed techniques based on normal distribution assumptions.. Chapter 5. Individual-directed techniques not based on normal distribution assumptions.. Chapter 6. Other approaches to explore multivariate data.. Chapter 7. Multivariate measures of space, distance, and time.. Chapter 8. Multivariate data preparation, plotting, and conclusions.. Subject index
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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". eng
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