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An Introduction to Generalized Additive Models with R

Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and;

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Generalized Additive Models

missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range;

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Generalized Additive Models

The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only;

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Advanced R Statistical Programming and Data Models

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation;

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Statistical Models in S

, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the;

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Kernel Mode Decomposition and the Programming of Kernels

near-machine precision in the recovery of the modes. The presentation includes a review of generalized additive models, additive kernels;

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Flexible Regression and Smoothing

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the;

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Flexible Regression and Smoothing

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the;

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Prime and Semiprime Rings Endowed With Some Kinds of Mappings

This advanced algebra book deals with derivations, generalized derivations, centralizers and theta-centralizers. It studies prime and;

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Analysis of Variance, Design, and Regression

additive and generalized additive models Examination of homologous factors Unbalanced split plot analyses Extensions to;

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Analysis of Variance, Design, and Regression

using methods for unbalanced data Introductions to nonparametric and lasso regression Introductions to general additive and generalized;

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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

* short-term health problems related to air pollution: analysis using semiparametric generalized additive models * semiparametric models in the;

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Radiation Risk Estimation

classical error Polynomial regression with known variance of classical error Nonlinear and generalized linear models Part II Radiation;

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Foundations of Linear and Generalized Linear Models

of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book;

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Regression: Models, Methods and Applications

extensions, generalized linear models, categorical regression models, mixed models, nonparametric regression, structured additive regression;

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Algebra and Its Applications

, Baer module theory, coding theory, graph theory, semi-group theory, HNP rings, Leavitt path algebras, generalized matrix algebras, Nakayama;

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A Handbook of Statistical Analyses Using R

relevant statistical background, along with appropriate references. New to the Second Edition New chapters on graphical displays, generalized;

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Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are;

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Generalized, Linear, and Mixed Models

An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models;

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Generalized Linear Mixed Models

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the;

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Generalized Linear Models

Explaining the theoretical underpinning of generalized linear models, this text enables researchers to decide how to select the best way to;

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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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Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata

Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a;

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Multivariate Generalized Linear Mixed Models Using R

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data;

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Generalized Intuitionistic Multiplicative Fuzzy Calculus Theory and Applications

This book mainly introduces the latest development of generalized intuitionistic multiplicative fuzzy calculus and its application. The;

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Generalized Intuitionistic Multiplicative Fuzzy Calculus Theory and Applications

This book mainly introduces the latest development of generalized intuitionistic multiplicative fuzzy calculus and its application. The;

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