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Theory of Multivariate Statistics, Martin Bilodeau; David Brenner


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Цена: 11878.00р.
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Автор: Martin Bilodeau; David Brenner
Название:  Theory of Multivariate Statistics
ISBN: 9781475773033
Издательство: Springer
Классификация: ISBN-10: 147577303X
Обложка/Формат: Paperback
Страницы: 290
Вес: 0.44 кг.
Дата издания: 06.05.2013
Серия: Springer Texts in Statistics
Язык: English
Размер: 234 x 156 x 17
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Our object in writing this book is to present the main results of the modern theory of multivariate statistics to an audience of advanced students who would appreciate a concise and mathematically rigorous treatment of that material. It is intended for use as a textbook by students taking a first graduate course in the subject, as well as for the general reference of interested research workers who will find, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, as for instance robust inference (using adjusted likelihood ratio tests) and the use of the bootstrap in a multivariate setting. A minimum background expected of the reader would include at least two courses in mathematical statistics, and certainly some exposure to the calculus of several variables together with the descriptive geometry of linear algebra.


Monetary Theory and Policy, Third Edition

Автор: Walsh Carl E.
Название: Monetary Theory and Policy, Third Edition
ISBN: 0262013770 ISBN-13(EAN): 9780262013772
Издательство: MIT Press
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Цена: 8287.00 р.
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Описание: A new edition of the leading text in monetary economics, a comprehensive treatment revised and enhanced with new material reflecting recent advances in the field.

Random Matrix Theory And Its Applications: Multivariate Statistics And Wireless Communications

Автор: Bai Zhidong Et Al
Название: Random Matrix Theory And Its Applications: Multivariate Statistics And Wireless Communications
ISBN: 9814273112 ISBN-13(EAN): 9789814273114
Издательство: World Scientific Publishing
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Цена: 12038.00 р.
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Описание: Random matrix theory has a long history, beginning in the first instance in multivariate statistics. It was used by Wigner to supply explanations for the important regularity features of the apparently random dispositions of the energy levels of heavy nuclei. This title contains chapters which serve as an introduction into this area of research.

Theory of Multivariate Statistics

Автор: Martin Bilodeau; David Brenner
Название: Theory of Multivariate Statistics
ISBN: 0387987398 ISBN-13(EAN): 9780387987392
Издательство: Springer
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Цена: 12431.00 р.
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Описание: Presents the results of the modern theory of multivariate statistics to an audience of advanced students.

Multivariate Statistics: Theory And Applications - Proceedings Of The Ix Tartu Conference On Multivariate Statistics And Xx International Workshop On Matrices And Statistics

Автор: Kollo Tonu
Название: Multivariate Statistics: Theory And Applications - Proceedings Of The Ix Tartu Conference On Multivariate Statistics And Xx International Workshop On Matrices And Statistics
ISBN: 9814449393 ISBN-13(EAN): 9789814449397
Издательство: World Scientific Publishing
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Цена: 16790.00 р.
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Описание: The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson-Kotz-Dirichlet distributions by Professor N Balakrishnan contains main results of the Samuel Kotz Memorial Lecture. Extensions of linear models to multivariate exponential dispersion models and Growth Curve models are presented, and several papers on classification methods are included. Applications range from insurance mathematics to medical and industrial statistics and sampling algorithms.

Laser Machining: Theory and Practice

Автор: E.L.K.E
Название: Laser Machining: Theory and Practice
ISBN: 1475740867 ISBN-13(EAN): 9781475740868
Издательство: Springer
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Цена: 9141.00 р.
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Описание: Laser Machining: Theory and Practice addresses state-of-the-art laser machining in a way useful for research- ers, academicians and practitioners, particularly manufacturing engineers, who are considering lasers as a solution to the machining requirements of their factories and plants.

Multivariate Statistics:

Автор: H?rdle
Название: Multivariate Statistics:
ISBN: 0387707840 ISBN-13(EAN): 9780387707846
Издательство: Springer
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Цена: 8384.00 р.
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Описание: The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether 234 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R or XploRe languages. The corresponding libraries are downloadable from the Springer link web pages and from the author’s home pages.

Applied Multivariate Statistics in Geohydrology and Related Sciences

Автор: Charles E. Brown
Название: Applied Multivariate Statistics in Geohydrology and Related Sciences
ISBN: 364280330X ISBN-13(EAN): 9783642803307
Издательство: Springer
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Цена: 9141.00 р.
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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".

Goodness-of-Fit Statistics for Discrete Multivariate Data

Автор: Timothy R.C. Read; Noel A.C. Cressie
Название: Goodness-of-Fit Statistics for Discrete Multivariate Data
ISBN: 038796682X ISBN-13(EAN): 9780387966823
Издательство: Springer
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Цена: 15506.00 р.
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Описание: The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades.

A First Course in Multivariate Statistics

Автор: Bernard Flury
Название: A First Course in Multivariate Statistics
ISBN: 1441931139 ISBN-13(EAN): 9781441931139
Издательство: Springer
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Цена: 13409.00 р.
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Описание: My goal in writing this book has been to provide teachers and students of multi- variate statistics with a unified treatment ofboth theoretical and practical aspects of this fascinating area. The text is designed for a broad readership, including advanced undergraduate students and graduate students in statistics, graduate students in bi- ology, anthropology, life sciences, and other areas, and postgraduate students. The style of this book reflects my beliefthat the common distinction between multivariate statistical theory and multivariate methods is artificial and should be abandoned. I hope that readers who are mostly interested in practical applications will find the theory accessible and interesting. Similarly I hope to show to more mathematically interested students that multivariate statistical modelling is much more than applying formulas to data sets. The text covers mostly parametric models, but gives brief introductions to computer-intensive methods such as the bootstrap and randomization tests as well. The selection of material reflects my own preferences and views. My principle in writing this text has been to restrict the presentation to relatively few topics, but cover these in detail. This should allow the student to study an area deeply enough to feel comfortable with it, and to start reading more advanced books or articles on the same topic.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Microeconomic theory

Автор: Mas-Colell, Andreu
Название: Microeconomic theory
ISBN: 0195102681 ISBN-13(EAN): 9780195102680
Издательство: Oxford Academ
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Цена: 19931.00 р.
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Описание: This is a comprehensive textbook covering all of the topics taught in the graduate-level, two-semester course in microeconomic theory required of all graduate students in economics. It combines the results of the authors` experience of teaching microeconomics at Harvard and has been fully classroom tested.

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.
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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.


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