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Excerpt from Multicollinearity in Regression Analysis: The Problem Revisited
Y, X as observed values, measured as standardized deviates, of the dependent and independent variables, 8 as the true (structural) coefficients, u as the true (unobserved) error term, with distributional properties specified by the general linear model.
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Multicollinearity in Regression Analysis: The Problem Revisited
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Paperback. Zustand: New. Print on Demand. This book explores the phenomenon of multicollinearity, a statistical condition in which high intercorrelations exist within a set of explanatory variables in regression analysis. The author argues that multicollinearity is a significant problem that can undermine the reliability of parameter estimates and lead to erroneous conclusions. The book provides a comprehensive analysis of multicollinearity, tracing its historical development and examining its impact on econometric modeling. The author introduces a novel three-stage diagnostic approach to detect, locate, and analyze the pattern of interdependence within an independent variable set. These diagnostics can help researchers understand the nature and severity of multicollinearity, enabling them to take appropriate corrective actions to improve the accuracy of their models. Through detailed illustrations, the book demonstrates how multicollinearity can distort parameter estimates and hinder the identification of true relationships between variables. The author emphasizes the importance of distinguishing between the nature and effects of multicollinearity, and highlights the need for researchers to address the problem proactively rather than as an afterthought. By providing a systematic framework for understanding and addressing multicollinearity, this book offers valuable guidance to researchers and practitioners in econometrics and related fields. It contributes to a deeper understanding of the complexities of regression analysis, enabling users to produce more reliable and insightful results from their models. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Bestandsnummer des Verkäufers 9781332270804_0
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