Multivariate Prediction, de Branges Spaces, and Related Extension and Inverse Problems, Damir Z. Arov; Harry Dym

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: 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: 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: V?ctor G?mez
Название: Multivariate Time Series With Linear State Space Structure
ISBN: 331928598X ISBN-13(EAN): 9783319285986
Издательство: Springer
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Цена: 88500.00 T
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Описание: This book presents a comprehensive study of multivariate time serieswith linear state space structure. The strength of the book also lies in the numerous algorithms includedfor state space models that take advantage of the recursive nature of themodels.

Автор: Klaus Nordhausen; Sara Taskinen
Название: Modern Nonparametric, Robust and Multivariate Methods
ISBN: 3319361295 ISBN-13(EAN): 9783319361291
Издательство: Springer
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Цена: 102480.00 T
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Описание: Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures.

Автор: Klaus Nordhausen; Sara Taskinen
Название: Modern Nonparametric, Robust and Multivariate Methods
ISBN: 3319224034 ISBN-13(EAN): 9783319224039
Издательство: Springer
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Цена: 121110.00 T
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Описание: Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures.

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: 103370.00 T
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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.

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.