Model Discrimination for Nonlinear Regression Models, Borowiak, Dale S.
Автор: Sylvie Huet; Anne Bouvier; Marie-Anne Poursat; Emm Название: Statistical Tools for Nonlinear Regression ISBN: 1441923012 ISBN-13(EAN): 9781441923011 Издательство: Springer Рейтинг: Цена: 11313.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. Several additional tools are included in the package for calculating confidence regions for functions of parameters or calibration intervals, using classical methodology or bootstrap.
Автор: Davies, Patrick Laurie Название: Data Analysis and Approximate Models ISBN: 1482215861 ISBN-13(EAN): 9781482215861 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Нет в наличии.
Автор: Knafl Название: Adaptive Regression for Modeling Nonlinear Relationships ISBN: 3319339443 ISBN-13(EAN): 9783319339443 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. The book also provides a comparison of adaptive modeling to generalized additive modeling (GAM) and multiple adaptive regression splines (MARS) for univariate outcomes.
Автор: A.A. Ivanov Название: Asymptotic Theory of Nonlinear Regression ISBN: 0792343352 ISBN-13(EAN): 9780792343356 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents mathematical results in asymptotic theory on nonlinear regression on the basis of various asymptotic expansions of least squares, its characteristics, and its distribution functions of functionals of Least Squares Estimator. This title indicates conditions for Least Moduli Estimator asymptotic normality.
Автор: David G. T. Denison Название: Bayesian Methods for Nonlinear Classification and Regression ISBN: 0471490369 ISBN-13(EAN): 9780471490364 Издательство: Wiley Рейтинг: Цена: 20584.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Regression analysis models the relationship between a set of responses and another variable: for example, to estimate the true position of a line through a number of observed points. Unfortunately, data rarely conforms to simple curves and straight lines - parametric models - and this text examines more complex - or nonparametric - models.
Название: Regression Modeling Strategies ISBN: 3319194240 ISBN-13(EAN): 9783319194240 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model.
Автор: Eric Vittinghoff; David V. Glidden; Stephen C. Shi Название: Regression Methods in Biostatistics ISBN: 1489998543 ISBN-13(EAN): 9781489998545 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.
Описание: Regression and state space models with time varying coefficients are treated in a thorough manner. Additionally, methods are developed to test for the constancy of regression coefficients in situations where one knows already that some coefficients follow a random walk, thereby one is enabled to find out which of the coefficients varies over time.
Автор: Wang Qiying Название: Limit Theorems For Nonlinear Cointegrating Regression ISBN: 9814675628 ISBN-13(EAN): 9789814675628 Издательство: World Scientific Publishing Рейтинг: Цена: 15523.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression.
Описание: The most important statistical concepts are the general linear model for Gaussian variables and the general methods of maximum likelihood estimation as well as the likelihood ratio test.
Автор: Knafl George J., Ding Kai Название: Adaptive Regression for Modeling Nonlinear Relationships ISBN: 3319816381 ISBN-13(EAN): 9783319816388 Издательство: Springer Рейтинг: Цена: 11225.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. The book also provides a comparison of adaptive modeling to generalized additive modeling (GAM) and multiple adaptive regression splines (MARS) for univariate outcomes.
Автор: Frantisek Stulajter Название: Predictions in Time Series Using Regression Models ISBN: 1441929657 ISBN-13(EAN): 9781441929655 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will interest and assist people who are dealing with the problems of predictions of time series in higher education and research. It will greatly assist people who apply time series theory to practical problems in their work and also serve as a textbook for postgraduate students in statistics economics and related subjects.
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