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Multicollinearity in Regression Analysis; the Problem Revisited

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Multicollinearity in Regression Analysis; the Problem Revisited

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Regression Analysis by Example

Praise for the Fourth Edition: This book is ...an excellent source of examples for regression analysis. It has been and still is readily;

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On Multicollinearity and Artificial Neural Networks

One of the many problems encountered in coming up with a multiple linear regression model is the presence of severe multicollinearity;

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Regression Analysis and Its Application: A Data-Oriented Approach

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Regression Analysis and its Application

analysis, multicollinearity, and biased regression estimators. It also focuses on data collection, model assumptions, and the interpretation;

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Applied Regression Analysis

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most;

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Statistical Methods for the Analysis of Biomedical Data

analysis of covariance. Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.;

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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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Regression Analysis with Python

Learn the art of regression analysis with Python About This Book * Become competent at implementing regression analysis in Python;

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Modeling in Mathematics

and its application to energy-growth consumption problem. This book also discusses about intuitionistic fuzzy weighted linear regression model;

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Advanced Econometric Theory

eminence grise of econometrics, presents his classic lectures in econometric theory. Starting with the linear regression model, least squares;

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Advanced Econometric Theory

eminence grise of econometrics, presents his classic lectures in econometric theory. Starting with the linear regression model, least squares;

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Regression Diagnostics

a regression analysis and for determining whether certain assumptions appear reasonable. The book covers such topics as the problem;

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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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Regression Modeling: Methods, Theory, and Computation with SAS

using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output;

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Regression Modeling: Methods, Theory, and Computation with SAS

using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output;

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Introduction to Linear Regression Analysis, 6th Edition

INTRODUCTION TO LINEAR REGRESSION ANALYSIS A comprehensive and current introduction to the fundamentals of regression analysis;

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Advanced Statistics in Criminology and Criminal Justice

analysis tools in criminology and criminal justice, and also to apply them to research problems. The volume is structured around two main;

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The Mathematical Legacy of Victor Lomonosov

The fundamental contributions made by the late Victor Lomonosov in several areas of analysis are revisited in this book, in particular, by;

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Linear Regression Analysis

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical;

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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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Analysis of Messy Data, Volume III

approach of treating the analysis of covariance problem by looking at a set of regression models, one for each of the treatments or treatment;

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Interaction Effects in Multiple Regression

analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way;

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Introductory Regression Analysis

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues;

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Introductory Regression Analysis

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues;

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Applying Regression & Correlation

This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis;

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