Adaptive Regression for Modeling Nonlinear Relationships, Knafl George J., Ding Kai

Автор: David G. T. Denison
Название: Bayesian Methods for Nonlinear Classification and Regression
ISBN: 0471490369 ISBN-13(EAN): 9780471490364
Издательство: Wiley
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Цена: 20584.00 р.
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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.

Автор: A.A. Ivanov
Название: Asymptotic Theory of Nonlinear Regression
ISBN: 0792343352 ISBN-13(EAN): 9780792343356
Издательство: Springer
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Цена: 15372.00 р.
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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: Sylvie Huet; Anne Bouvier; Marie-Anne Poursat; Emm
Название: Statistical Tools for Nonlinear Regression
ISBN: 1441923012 ISBN-13(EAN): 9781441923011
Издательство: Springer
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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: Knafl
Название: Adaptive Regression for Modeling Nonlinear Relationships
ISBN: 3319339443 ISBN-13(EAN): 9783319339443
Издательство: Springer
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Цена: 9781.00 р.
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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: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 15046.00 р.
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Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Автор: Wang Qiying
Название: Limit Theorems For Nonlinear Cointegrating Regression
ISBN: 9814675628 ISBN-13(EAN): 9789814675628
Издательство: World Scientific Publishing
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Цена: 15523.00 р.
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Описание: This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression.

Название: Regression Modeling Strategies
ISBN: 3319194240 ISBN-13(EAN): 9783319194240
Издательство: Springer
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Цена: 12577.00 р.
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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: A. Wojtkiewicz Roger
Название: Elementary Regression Modeling
ISBN: 1506303471 ISBN-13(EAN): 9781506303475
Издательство: Sage Publications
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Цена: 13306.00 р.
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Описание: This user-friendly text builds on simple differences between groups to explain regression and regression modeling and provides a conceptual basis for the processes and procedures researchers follow when conducting regression analyses.

Автор: S. Johansen
Название: Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
ISBN: 0387909680 ISBN-13(EAN): 9780387909684
Издательство: Springer
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Цена: 16070.00 р.
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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.