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Applied Multivariate Statistics in Geohydrology and Related Sciences, Charles E. Brown


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Цена: 9141.00р.
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Автор: Charles E. Brown
Название:  Applied Multivariate Statistics in Geohydrology and Related Sciences
ISBN: 9783642803307
Издательство: Springer
Классификация: ISBN-10: 364280330X
Обложка/Формат: Soft cover
Страницы: 248
Вес: 0.39 кг.
Дата издания: 16.12.2011
Язык: English
Размер: 234 x 156 x 15
Читательская аудитория: Students
Основная тема: Geotechnical Engineering & Applied Earth Sciences
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.


Geohydrology of the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: Usgs Professio

Автор: Gutentag E. D., Heimes F. J., Et Al
Название: Geohydrology of the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: Usgs Professio
ISBN: 1287011470 ISBN-13(EAN): 9781287011477
Издательство: Неизвестно
Цена: 2448.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Geohydrology of the Stratified-Drift Aquifer System in the Lower Sixmile Creek and Willseyville Creek Trough, Tompkins County, New York: Usgs Scientif

Автор: Miller Todd S., Karig Daniel E.
Название: Geohydrology of the Stratified-Drift Aquifer System in the Lower Sixmile Creek and Willseyville Creek Trough, Tompkins County, New York: Usgs Scientif
ISBN: 1288863594 ISBN-13(EAN): 9781288863594
Издательство: Неизвестно
Цена: 3265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Applied Multivariate Statistics for the Social Sciences

Автор: Pituch
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836654 ISBN-13(EAN): 9780415836654
Издательство: Taylor&Francis
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Цена: 35218.00 р.
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Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Applied Multivariate Statistics for the Social Sciences

Автор: Pituch Keenan A
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836662 ISBN-13(EAN): 9780415836661
Издательство: Taylor&Francis
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Цена: 17609.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Applied Statistics and Multivariate Data Analysis

Автор: Thomas Cleff
Название: Applied Statistics and Multivariate Data Analysis
ISBN: 3030177661 ISBN-13(EAN): 9783030177669
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Нет в наличии.

Описание: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.

Graphical models in applied multivariate statistics

Автор: Whittaker, Joe
Название: Graphical models in applied multivariate statistics
ISBN: 0470743662 ISBN-13(EAN): 9780470743669
Издательство: Wiley
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Цена: 10605.00 р.
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Описание: - It reveals the interrelationships between multiple variables and features of the underlying conditional independence. - It covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. - Many numerical examples and exercises with solutions are included.

Multivariate Algorithms and Information-Based Complexity

Автор: Fred J. Hickernell, Peter Kritzer
Название: Multivariate Algorithms and Information-Based Complexity
ISBN: 3110633159 ISBN-13(EAN): 9783110633153
Издательство: Walter de Gruyter
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Цена: 19330.00 р.
Наличие на складе: Нет в наличии.

Описание:

The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.

The books of this series are addressed to both specialists and advanced students.

Interested authors may submit book proposals to the Managing Editor or to any member of the Editorial Board.

Managing Editor
Ulrich Langer, RICAM, Linz, Austria; Johannes Kepler University Linz, Austria

Editorial Board
Hansjorg Albrecher, University of Lausanne, Switzerland
Ronald H. W. Hoppe, University of Houston, USA
Karl Kunisch, RICAM, Linz, Austria; University of Graz, Austria
Harald Niederreiter, RICAM, Linz, Austria
Otmar Scherzer, RICAM, Linz, Austria; University of Vienna, Austria
Christian Schmeiser, University of Vienna, Austria


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