Multivariate Spline Functions and Their Applications, Ren-Hong Wang

Автор: Borislav D. Bojanov; H. Hakopian; B. Sahakian
Название: Spline Functions and Multivariate Interpolations
ISBN: 0792322290 ISBN-13(EAN): 9780792322290
Издательство: Springer
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Цена: 102480.00 T
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Описание: Spline functions entered Approximation Theory as solutions of natural extremal problems. The emphasis is given to some new developments, such as the general Birkoff`s type interpolation, the extremal properties of the splines and their prominant role in the optimal recovery of functions, multivariate interpolation by polynomials and splines.

Автор: Borislav D. Bojanov; H. Hakopian; B. Sahakian
Название: Spline Functions and Multivariate Interpolations
ISBN: 9048142598 ISBN-13(EAN): 9789048142590
Издательство: Springer
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Цена: 144370.00 T
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Описание: Spline functions entered Approximation Theory as solutions of natural extremal problems. The emphasis is given to some new developments, such as the general Birkoff`s type interpolation, the extremal properties of the splines and their prominant role in the optimal recovery of functions, multivariate interpolation by polynomials and splines.

Автор: G?nther N?rnberger; Jochen W. Schmidt; Guido Walz
Название: Multivariate Approximation and Splines
ISBN: 3034898088 ISBN-13(EAN): 9783034898089
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book contains the refereed papers which were presented at the interna- tional conference on "Multivariate Approximation and Splines" held in Mannheim, Germany, on September 7-10,1996.

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.

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
Наличие на складе: Поставка под заказ.
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: 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.

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.

Название: Multivariate Applications in Substance Use Research
ISBN: 1138012505 ISBN-13(EAN): 9781138012509
Издательство: Taylor&Francis
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Цена: 53070.00 T
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Описание: With the aid of this book`s user friendly style, readers gain a greater understanding of sophisticated multivariate techniques and how to apply them to substance use research questions.

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.

Автор: George A. Anastassiou; Ioannis K. Argyros
Название: Intelligent Numerical Methods II: Applications to Multivariate Fractional Calculus
ISBN: 3319336053 ISBN-13(EAN): 9783319336053
Издательство: Springer
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Цена: 111790.00 T
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Описание: Presenting system dynamics as a powerful approach to build simulation models of social systems to aid decision making, this book is grounded in the feedback perspective of complex systems and introduces key concepts such as stocks, flows and feedback. The R programming language provides an open-source and interoperable way to build models.

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.