Multivariate Applications in Substance Use Research, 

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: 184750.00 T
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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.

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: 117390.00 T
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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.

Название: Copulae and Multivariate Probability Distributions in Finance
ISBN: 0415814855 ISBN-13(EAN): 9780415814850
Издательство: Taylor&Francis
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Цена: 91860.00 T
Наличие на складе: Невозможна поставка.
Описание: This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. It describes the state of the art in the tools required to deal with these observed features of financial data. This book was originally published as a special issue of the European Journal of Finance.

Автор: Samuel Kotz
Название: Multivariate T-Distributions and Their Applications
ISBN: 0521826543 ISBN-13(EAN): 9780521826549
Издательство: Cambridge Academ
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Цена: 116160.00 T
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Описание: Practically every result on multivariate t-distributions published in the last 50 years is brought together for the first time. Covers theoretical probabilistic results, statistical aspects, and generalizations and applications, including material on estimation and regression models of special value for practitioners in statistics and economics. More than 350 references are included.

Автор: Ruey S. Tsay
Название: Multivariate Time Series Analysis: With R and Financial Applications
ISBN: 1118617908 ISBN-13(EAN): 9781118617908
Издательство: Wiley
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Цена: 125610.00 T
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Описание: An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series.

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 70750.00 T
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Описание: `Big data` poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master`s/graduate students in statistics and working scientists in data-rich disciplines.

Автор: Miller Jane E.
Название: The Chicago Guide to Writing about Multivariate Analysis, Second Edition
ISBN: 0226527875 ISBN-13(EAN): 9780226527871
Издательство: Wiley
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Цена: 44350.00 T
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Описание: Suitable for those who needs to communicate complex research results, this title includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the "Goldilocks principle" for choosing the right size contrast for interpreting results for different variables.

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: 111930.00 T
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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.

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: 80250.00 T
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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.