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Dealing with Endogeneity in Regression Models with Dynamic Coefficients

Dealing with Endogeneity in Regression Models with Dynamic Coefficients presents a unified econometric framework for dealing with the;

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Forecasting with Dynamic Regression Models

This volume presents the basic concepts and practice of building, using and interpreting single equation dynamic regression models (also;

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Interaction Effects in Logistic Regression

applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could;

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Sensitivity Analysis in Linear Regression

This volume treats linear regression diagnostics as a tool for the application of linear regression models to real-life data. The;

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Advanced Regression Models with SAS and R

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book;

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Advanced Regression Models with SAS and R

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book;

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Dynamic Regression Models for Survival Data

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and;

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Dynamic Regression Models for Survival Data

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and;

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Spatial Regression Analysis Using Eigenvector Spatial Filtering

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation;

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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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Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R

This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to;

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Applied Logistic Regression

From the reviews of the First Edition. An interesting, useful, and well-written book on logistic regression models ...Hosmer and Lemeshow;

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SAS for Mixed Models, Second Edition

generalized linear mixed models nonlinear mixed models Professionals and students with a background in two-way ANOVA and regression and a basic;

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Applied Logistic Regression Analysis

The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also;

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Bearing Dynamic Coefficients in Rotordynamics - Computation Methods and Practical Applications

A guide to bearing dynamic coefficients in rotordynamics that includes various computation methods Bearing Dynamic Coefficients;

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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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Corporate Governance, Agency Theory & Firm Value

in this book focuses on the dynamic endogeneity issue to investigate whether this issue influences the relationship between corporate governance;

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Regression Diagnostics

Provides practicing statisticians and econometricians with new tools for assessing quality and reliability of regression estimates;

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Applied Econometrics

and multiple regression models. It also includes advanced topics: Endogeneity and Two-stage Least Squares Simultaneous Equations;

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Applied Econometrics

and multiple regression models. It also includes advanced topics: Endogeneity and Two-stage Least Squares Simultaneous Equations Models Panel;

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Hands-on Intermediate Econometrics Using R

understanding of an extensive range of topics in Econometrics. No other text provides software snippets to learn so many new statistical tools with;

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Hands-on Intermediate Econometrics Using R

understanding of an extensive range of topics in Econometrics. No other text provides software snippets to learn so many new statistical tools with;

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Gaussian Process Regression Analysis for Functional Data

learning, interpreting model structure, and carrying out inference, particularly when dealing with large dimensional functional data. This book;

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Bayesian Model Comparison

The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological;

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Understanding Probability Models

techniques for dealing efficiently with the study of economic growth models under endogeneity. This book will be of interest for biometricians;

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