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Applied Regression Modeling

that illustrate advanced regression strategies, including model building, logistic regression, Poisson regression, discrete choice models;

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Applied Regression and Modeling

The book is divided into three parts - (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Nonlinear Regression Modeling

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Modeling in Mathematics

representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression;

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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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Handbook for Applied Modeling

. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling;

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Modeling Microbial Responses in Food

and uncertainty, and new modeling strategies. The authors present detailed descriptions of non-linear regression fitting, methods, approaches;

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Modeling Microbial Responses in Food

and uncertainty, and new modeling strategies. The authors present detailed descriptions of non-linear regression fitting, methods, approaches;

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Regression Modeling Strategies

when developing multi-variable models using real data and not standard textbook examples. Regression Modelling Strategies presents full;

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Regression Modeling Strategies

when developing multi-variable models using real data and not standard textbook examples. Regression Modelling Strategies presents full;

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Correlation And Regression Analysis

It is no exaggeration to say that virtually all quantitative research in the social sciences is done with correlation and regression;

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Multiple Regression and Beyond

This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts: the author;

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Handbook for Applied Modeling

. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling;

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Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling

Provides a unified framework for both single-level and multilevel modeling of ordinal categorical da;...

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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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Unit Root, Cointegration, Granger-Causality, Threshold Regression and Other Econometric Modeling with Economics and Financial Data

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Adaptive Regression for Modeling Nonlinear Relationships

when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for;

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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 Modeling Strategies

multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising;

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Student Solutions Manual for Abraham/Ledolter's Introduction to Regression Modeling

This manual contains worked out solutions to selected problems in the text.;...

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Fixed Effects Regression Models

This book demonstrates how to estimate and interpret fixed-effects models in a variety of different ;...

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Logistic Regression Inside and Out

If you have a yes or no question, then you can probably answer it with a logistic regression model. Logistic regression is most appropriate;

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