Applied Multivariate Data Analysis, J.D. Jobson

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
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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: J.D. Jobson
Название: Applied Multivariate Data Analysis
ISBN: 1461269601 ISBN-13(EAN): 9781461269601
Издательство: Springer
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Цена: 46570.00 T
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Описание: An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory.

Автор: Neil H. Timm
Название: Applied Multivariate Analysis
ISBN: 1441929630 ISBN-13(EAN): 9781441929631
Издательство: Springer
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Цена: 83850.00 T
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Описание: Univariate statistical analysis is concerned with techniques for the analysis of a single random variable. This book is about applied multivariate analysis. It was written to p- vide students and researchers with an introduction to statistical techniques for the ana- sis of continuous quantitative measurements on several random variables simultaneously. While quantitative measurements may be obtained from any population, the material in this text is primarily concerned with techniques useful for the analysis of continuous obser- tions from multivariate normal populations with linear structure. While several multivariate methods are extensions of univariate procedures, a unique feature of multivariate data an- ysis techniques is their ability to control experimental error at an exact nominal level and to provide information on the covariance structure of the data. These features tend to enhance statistical inference, making multivariate data analysis superior to univariate analysis. While in a previous edition of my textbook on multivariate analysis, I tried to precede a multivariate method with a corresponding univariate procedure when applicable, I have not taken this approach here. Instead, it is assumed that the reader has taken basic courses in multiple linear regression, analysis of variance, and experimental design. While students may be familiar with vector spaces and matrices, important results essential to multivariate analysis are reviewed in Chapter 2. I have avoided the use of calculus in this text.

Автор: V.I. Serdobolskii
Название: Multivariate Statistical Analysis
ISBN: 9048155932 ISBN-13(EAN): 9789048155934
Издательство: Springer
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Цена: 121110.00 T
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Описание: Multivariate Statistical Analysis

Автор: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr
Название: Innovations in Multivariate Statistical Analysis
ISBN: 1461370809 ISBN-13(EAN): 9781461370802
Издательство: Springer
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Цена: 139750.00 T
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Описание: The three decades which have followed the publication of Heinz Neudecker`s seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products` in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.

Автор: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr
Название: Innovations in Multivariate Statistical Analysis
ISBN: 0792386361 ISBN-13(EAN): 9780792386360
Издательство: Springer
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Цена: 194730.00 T
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Описание: The three decades which have followed the publication of Heinz Neudecker`s seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products` in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.