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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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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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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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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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Multiple Regression and Causal Analysis

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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 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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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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The Program Evaluation Prism

This book is a comprehensive treatment of correlationregression techniques and using SPSS for interpretation of findings. Striking a;

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Determining Factors Causing Child Labor By Using Multiple Linear And Logistic Regression Analysis

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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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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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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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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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Statistical Methods for the Analysis of Biomedical Data

The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear;

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Regression Diagnostics

With Regression Diagnostics, researchers now have an accessible explanation of the techniques needed for exploring problems that compromise;

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Regression Analysis Microsoft Excel

This is today's most complete guide to regression analysis with Microsoft (R) Excel for any business analytics or research task. Drawing on;

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Understanding Regression Analysis

By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this;

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Understanding Regression Analysis

By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this;

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Handbook of Regression Methods

Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook;

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Understanding Regression Assumptions

Through the use of careful explanations and examples, Berry shows the reader how to consider whether the assumptions of multiple regression;

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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

regression model to tackle the uncertainty in the measurements of six key parameters - dissolved oxygen (DO), biological oxygen demand (BOD;

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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 Methods for Geographers

displaying and describing distributions, and covers a range of working methods including probability and sampling, simple linear regression;

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