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Advanced Linear Modeling / Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization, Christensen Ronald



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Цена: 9404р.
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Автор: Christensen Ronald
Название:  Advanced Linear Modeling / Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization
Издательство: Springer
Классификация:
ISBN: 0387952969
ISBN-13(EAN): 9780387952963
Обложка/Формат: Hardback
Страницы: 411
Вес: 0.763 кг.
Дата издания: 01.08.2001
Серия: Springer Texts in Statistics
Язык: English
Издание: 2nd ed. 2001
Иллюстрации: 14 black & white illustrations, 14 black & white l
Размер: 164 x 241 x 31
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: Multivariate, time series and spatial data - nonparametric regression and response surface maximization
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book introduces several topics related to linear model theory: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis. The second edition adds new material on nonparametric regression, response surface maximization, and longitudinal models. The book provides a unified approach to these disparate subject and serves as a self-contained companion volume to the authors Plane Answers to Complex Questions: The Theory of Linear Models. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is well known for his work on the theory and application of linear models having linear structure. He is the author of numerous technical articles and several books and he is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics. Also Available: Christensen, Ronald. Plane Answers to Complex Questions: The Theory of Linear Models, Second Edition (1996). New York: Springer-Verlag New York, Inc. Christensen, Ronald. Log-Linear Models and Logistic Regression, Second Edition (1997). New York: Springer-Verlag New York, Inc.
Дополнительное описание: Формат: 235x155
Илюстрации: 14
Круг читателей: Graduate students
Ключевые слова:
Язык: eng
Издание: 2nd ed.
Оглавление: Multivariate Linear Models * Discrimination and Allocation * Principal Components and Factor Analysis * Frequency Analysis of Time Series * Time Domain Analysis * Linear Models for Spatial Data: Kriging * Nonparametric Regression * Response Surface Maximization





Nonparametric Regression and Generalized Linear Models

Автор: Green
Название: Nonparametric Regression and Generalized Linear Models
ISBN: 0412300400 ISBN-13(EAN): 9780412300400
Издательство: Taylor&Francis
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Цена: р.
Наличие на складе: Невозможна поставка.

Описание: Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique provides a unifying approach to a wide range of smoothing problems. The emphasis is methodological rather than theoretical, and the authors concentrate on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students.

Nonlinear Time Series / Nonparametric and Parametric Methods

Автор: Fan Jianqing, Yao Qiwei
Название: Nonlinear Time Series / Nonparametric and Parametric Methods
ISBN: 0387261427 ISBN-13(EAN): 9780387261423
Издательство: Springer
Рейтинг:
Цена: 11494 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the contemporary statistical methods and theory of nonlinear time series analysis. The principal focus is on nonparametric and semiparametric techniques developed in the last decade. It covers the techniques for modelling in state-space, in frequency-domain as well as in time-domain. To reflect the integration of parametric and nonparametric methods in analyzing time series data, the book also presents an up-to-date exposure of some parametric nonlinear models, including ARCH/GARCH models and threshold models. A compact view on linear ARMA models is also provided. Data arising in real applications are used throughout to show how nonparametric approaches may help to reveal local structure in high-dimensional data. Important technical tools are also introduced. The book will be useful for graduate students, application-oriented time series analysts, and new and experienced researchers. It will have the value both within the statistical community and across a broad spectrum of other fields such as econometrics, empirical finance, population biology and ecology. The prerequisites are basic courses in probability and statistics. Jianqing Fan, coauthor of the highly regarded book Local Polynomial Modeling, is Professor of Statistics at the University of North Carolina at Chapel Hill and the Chinese University of Hong Kong. His published work on nonparametric modeling, nonlinear time series, financial econometrics, analysis of longitudinal data, model selection, wavelets and other aspects of methodological and theoretical statistics has been recognized with the Presidents' Award from the Committee of Presidents of Statistical Societies, the Hettleman Prize for Artistic and Scholarly Achievement from the University of North Carolina, and by his election as a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Qiwei Yao is Professor of Statistics at the London School of Economics and Political Science. He is an elected member of the International Statistical Institute, and has served on the editorial boards for the Journal of the Royal Statistical Society (Series B) and the Australian and New Zealand Journal of Statistics.

Multivariate Nonparametric Regression and Visualization

Автор: Klemela Jussi
Название: Multivariate Nonparametric Regression and Visualization
ISBN: 0470384425 ISBN-13(EAN): 9780470384428
Издательство: Wiley
Рейтинг:
Цена: 10505 р.
Наличие на складе: Поставка под заказ.

Описание: Covering classification and regression, Statistical Learning is the first of its kind to use visualization techniques to identify, test, and analyze classifiers for their most accurate exploration of data.

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models

Автор: Faraway, Julian J.
Название: Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models
ISBN: 158488424X ISBN-13(EAN): 9781584884248
Издательство: CRC Press
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Цена: 5176 р.
Наличие на складе: Нет в наличии.

Описание: This modern statistics text discusses the extension of the linear model through the regression model. It extensively addresses the generalized linear model, GLM diagnostics, generalized linear mixed models, trees, and the use of neural networks in the field of statistics. It discusses the regression model in three forms: through the use of dummy variables for qualitative predictors, by allowing transformation of variables as in the Box-Cox transformation, and the use of weights which allow heterogeneous error structures and the exclusion of outliers. R is used throughout the book to aid with computation and model building.

Nonparametric Regression Analysis of Longitudinal Data

Автор: Hans-Georg M?ller
Название: Nonparametric Regression Analysis of Longitudinal Data
ISBN: 038796844X ISBN-13(EAN): 9780387968445
Издательство: Springer
Рейтинг:
Цена: 12539 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This text evolved during a set of lectures given by the author at the Division of Statistics at the University of California, Davis in Fall 1986 and is based on the author`s Habilitationsschrift submitted to the University of Marburg in Spring 1985 as well as on published and unpublished work.

Nonparametric Curve Estimation from Time Series

Автор: Lazlo Gy?rfi; Wolfgang H?rdle; Pascal Sarda; Phili
Название: Nonparametric Curve Estimation from Time Series
ISBN: 0387971742 ISBN-13(EAN): 9780387971742
Издательство: Springer
Рейтинг:
Цена: 12016 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Because of the sheer size and scope of the plastics industry, the title Developments in Plastics Technology now covers an incredibly wide range of subjects or topics.


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