Statistical Theory and Computational Aspects of Smoothing, Wolfgang H?rdle; Michael Schimek

Автор: Horova Ivanka Et Al
Название: Kernel Smoothing In Matlab: Theory And Practice Of Kernel Smoothing
ISBN: 9814405485 ISBN-13(EAN): 9789814405485
Издательство: World Scientific Publishing
Рейтинг:
Цена: 12830.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Offers a comprehensive overview of statistical theory and emphases the implementation of presented methods in Matlab. This title contains various Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard function, indices of quality and bivariate density.

Автор: Hyndman
Название: Forecasting with Exponential Smoothing
ISBN: 3540719164 ISBN-13(EAN): 9783540719168
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: However, a modeling framework incorporating stochastic models, likelihood calculation, prediction intervals and procedures for model selection, was not developed until recently. More advanced topics are covered in Part 3, including the mathematical properties of the models and extensions of the models for specific problems.

Автор: Chong Gu
Название: Smoothing Spline ANOVA Models
ISBN: 1489989846 ISBN-13(EAN): 9781489989840
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Updated to include the latest computational methods, this second edition explains how to use the `gss` R package and features expanded empirical studies, a reorganized content, and a further new appendix analyzing new and controversial topics in smoothing.

Автор: Jeffrey S. Simonoff
Название: Smoothing Methods in Statistics
ISBN: 1461284724 ISBN-13(EAN): 9781461284727
Издательство: Springer
Рейтинг:
Цена: 23058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics.

Автор: Chong Gu
Название: Smoothing Spline ANOVA Models
ISBN: 1461453682 ISBN-13(EAN): 9781461453680
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Updated to include the latest computational methods, this second edition explains how to use the `gss` R package and features expanded empirical studies, a reorganized content, and a further new appendix analyzing new and controversial topics in smoothing.

Автор: Howard L. Weinert
Название: Fixed Interval Smoothing for State Space Models
ISBN: 0792372999 ISBN-13(EAN): 9780792372998
Издательство: Springer
Рейтинг:
Цена: 21655.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Fixed-interval smoothing is a method of extracting information from inaccurate data. This monograph addresses problems for which a linear stochastic state space model is available, in which case the objective is to compute the linear least-squares estimate of the state vector in a fixed interval, using observations collected in that interval.

Автор: Wolfgang H?rdle
Название: Smoothing Techniques
ISBN: 1461287685 ISBN-13(EAN): 9781461287681
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points.