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: Koch Название: Analysis of Multivariate and High-Dimensional Data ISBN: 0521887933 ISBN-13(EAN): 9780521887939 Издательство: Cambridge Academ Рейтинг: Цена: 10613.00 р. 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.
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.
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: H. Bozdogan; Arjun K. Gupta Название: Multivariate Statistical Modeling and Data Analysis ISBN: 9401082642 ISBN-13(EAN): 9789401082648 Издательство: Springer Рейтинг: Цена: 20537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The areas covered included topics in the analysis of repeated measurements, cluster analysis, discriminant analysis, canonical cor- relations, distribution theory and testing, bivariate densi ty estimation, factor analysis, principle component analysis, multidimensional scaling, multivariate linear models, nonparametric regression, etc.
Автор: Neil H. Timm Название: Applied Multivariate Analysis ISBN: 1441929630 ISBN-13(EAN): 9781441929631 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr Название: Innovations in Multivariate Statistical Analysis ISBN: 1461370809 ISBN-13(EAN): 9781461370802 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: V.I. Serdobolskii Название: Multivariate Statistical Analysis ISBN: 0792366433 ISBN-13(EAN): 9780792366430 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents a branch of mathematical statistics which intends to construct unimprovable methods of multivariate analysis, multi-parametric estimation, and discriminant and regression analysis. This work is suitable for researchers and graduate students whose work involves statistics and probability, reliability and risk analysis, and econometrics.
Автор: H. Bozdogan; Arjun K. Gupta Название: Multivariate Statistical Modeling and Data Analysis ISBN: 9027725926 ISBN-13(EAN): 9789027725929 Издательство: Springer Рейтинг: Цена: 20537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The areas covered included topics in the analysis of repeated measurements, cluster analysis, discriminant analysis, canonical cor- relations, distribution theory and testing, bivariate densi ty estimation, factor analysis, principle component analysis, multidimensional scaling, multivariate linear models, nonparametric regression, etc.
Автор: Hougaard Philip Название: Analysis of Multivariate Survival Data ISBN: 1461270871 ISBN-13(EAN): 9781461270874 Издательство: Springer Рейтинг: Цена: 7406.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. As the field is rather new, the concepts and the possible types of data are described in detail.
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