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Dummy Variables and the Analysis of Covariance (Classic Reprint) - Softcover

 
9781332258741: Dummy Variables and the Analysis of Covariance (Classic Reprint)

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Excerpt from Dummy Variables and the Analysis of Covariance

It is the purpose of this article to suggest that the technique of the analysis of covariance dominates, in a statistical sense, the use of dummy variables. We shall first show how dummy variable regressions and the analysis of covariance are related. This comparison will show why we think the analysis of covariance is a more useful technique than the use of dummy variables in a regression analysis. Then in an attempt to make our prescription of the analysis of covariance somewhat easier to apply we shall develop a set of computational short cuts. In our view these result in computational difficulties of such small extra cost that they seem clearly to suggest that the analysis of covariance is a technique much more useful than simply inserting dummy variables into regressions.

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This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

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William L. White
Published by Forgotten Books, 2017
ISBN 10: 1332258743 ISBN 13: 9781332258741
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Paperback. Condition: New. Print on Demand. This book examines the use of dummy variables and the analysis of covariance in regression studies that combine data from multiple cross sections. The author argues that the analysis of covariance is a more powerful and informative technique than dummy variable regression, as it allows for the testing of hypotheses that cannot be tested using dummy variables alone. The book provides a comprehensive overview of the analysis of covariance, including its theoretical underpinnings, computational methods, and applications. It also includes a number of case studies that illustrate how the analysis of covariance can be used to solve real-world problems. This book is a valuable resource for researchers and practitioners who are interested in using regression analysis to study data from multiple cross sections. It provides a clear and concise explanation of the analysis of covariance, and it offers a number of practical tips and insights that can help readers to use the technique effectively. 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. Seller Inventory # 9781332258741_0

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William L. White
Published by Forgotten Books, 2018
ISBN 10: 1332258743 ISBN 13: 9781332258741
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332258741

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William L. White
Published by Forgotten Books, 2018
ISBN 10: 1332258743 ISBN 13: 9781332258741
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332258741

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