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Interaction Effects in Multiple Regression

Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting;

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Interaction Effects in Logistic Regression

This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the;

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Regression with Dummy Variables

the use of dummy variable regression in increasingly complex specifications, exploring issues such as: interaction, heteroscedasticity;

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Multiple-Regression in Behavioral Research

Multiple Regression in Behavioral Research adopts a data-analysis approach to multiple regression. Pedhazur integrates design and analysis;

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The Program Evaluation Prism

interaction in multiple regression. Each chapter is presented in the same comprehensive format: an introduction to the topic, followed by a;

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Applied Regression and Modeling

regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regression, and interaction;

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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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Explanation in Causal Inference

The book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid;

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Multiple Regression

Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a;

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A First Course in Business Statistics

Features coverage of regression analysis, with three chapters covering simple regression multiple regression and model building. This work;

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Logistic Regression Using SAS

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul;

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Multiple Regression And Beyond

Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis, along with more complex;

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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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Multiple Regression

estimate, test, and probe interactions in regression models. --David A. Kenny, University of Connecticut Leona S. Aiken and Stephen G;

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Regression Methods in Biostatistics

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used;

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Logistic Regression Using SAS

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul;

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Statistics at Square Two 3e

, including the different types of data, statistical models, and computer-intensive methods Comprehensive explorations of multiple linear regression;

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Applied Multiple Regression/Correlation Analysis For The Beh

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its;

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Multiple Regression and Causal Analysis

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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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Advanced R Statistical Programming and Data Models

linear models, generalized additive models, mixed effects models, machine learning, and parallel processing Carry out regression modeling using R;

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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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Business Applications of Multiple Regression

A basic understanding of multiple regression is helpful in carrying out good business practices-specifically in the areas of demand;

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Applied Regression Modeling

Master the fundamentals of regression without learning calculus with this one-stop resource The newly and thoroughly revised 3rd;

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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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