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Spline Regression Models

Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For;

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Smoothing Splines

smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric;

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Smoothing Splines

smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric;

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Nonparametric Regression and Spline Smoothing

Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions;

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Nonparametric Regression and Spline Smoothing

Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions;

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Nonparametric Regression Methods For Longitudinal Data Analysis

nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling;

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Flexible Bayesian Regression Modelling

Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced;

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Artificial Intelligence in Civil Engineering

Inference System, Support Vector Machine, Least Square Support Vector Machine, Relevance Vector Machine, Multivariate Adaptive Regression Spline;

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Robot Learning by Visual Observation

* Focuses on regression approaches, such as Gaussian mixture regression, spline regression, and locally weighted regression * Concentrates on the;

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Modelling Mortality with Actuarial Applications

insurance portfolio. Extensive use is made of the R statistics package. Smooth models, including regression and spline models in one and two;

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Regression Analysis and Linear Models

Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and;

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Advanced Methods for Geometric Modeling and Numerical Simulation

This book gathers selected contributions presented at the INdAM Workshop DREAMS , held in Rome, Ita;...

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Ordered Regression Models

Estimate and Interpret Results from Ordered Regression Models Ordered Regression Models: Parallel, Partial, and Non-Parallel;

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Ordered Regression Models

Estimate and Interpret Results from Ordered Regression Models Ordered Regression Models: Parallel, Partial, and Non-Parallel;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;

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Regression Models as a Tool in Medical Research

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the;

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Regression Models As A Tool In Medical Research

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the;

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Regression: Models, Methods and Applications

regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal;

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Regression And Time Series Model Selection

selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including;

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Regression Analysis

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for;

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Data Analysis Using Regression & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;

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Handbook of Splines

The numerous publications on spline theory during recent decades show the importance of its developm;...

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Regression Analysis and Linear Models

As a part of statistical modeling, regression analysis is the process and technique of understanding the relationship between dependent and;

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