Regression Analysis (Classic Reprint) - Couverture souple

Williams, E. J.

9780428644628: Regression Analysis (Classic Reprint)

Couverture souple

ISBN 10 : 0428644627 ISBN 13 : 9780428644628

Editeur : Forgotten Books, 2018

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Master regression with practical, proven methods for interpreting experimental results.

This book shows how least squares, analysis of variance, and measurement-error techniques help you understand data from experiments. It emphasizes real-world applications over theory, making complex ideas accessible to practitioners. The material focuses on interpreting experimental data, diagnosing model validity, and estimating relationships when variables are observed with error. It blends foundational methods with practical guidance so researchers can apply regression analysis to a wide range of scientific problems.

Learn how to estimate relationships between variables from experimental data.
See how to separate and assess the effects of different factors on outcomes.
Understand when and how to use analysis of covariance and other regression tools.
Gain practical strategies for testing significance and drawing valid conclusions.

Ideal for readers who work with experimental data in the sciences and want reliable, hands-on guidance for regression analysis.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Forgotten Books
Date d'�dition: 2018
Langue: anglais
ISBN 10: 0428644627
ISBN 13: 9780428644628
Reliure: Broch�
Nombre de pages: 232
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Regression Analysis (Classic Reprint)

E. J. Williams

Edit� par Forgotten Books, 2018

ISBN 10 : 0428644627 ISBN 13 : 9780428644628

Neuf Paperback

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Vendeur : Forgotten Books, London, Royaume-Uni

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Paperback. Etat : New. Print on Demand. This book delves into the world of regression analysis, a statistical technique used to estimate and predict the value of one variable based on the values of other variables. The author, drawing from their experience analyzing experimental results, aims to provide a practical guide for researchers in the experimental sciences. The book stands out by focusing on the relationship between regression and functional relations, a distinction that is often overlooked. It also tackles the often neglected issues of choosing among regression formulas and using the regression equation for estimation. The author emphasizes the importance of understanding the context of experiments and applying statistical methods in a way that aligns with the specific needs of each research question. They discuss the appropriate application and limitations of significance tests, which are crucial for distinguishing random variation from meaningful effects. Through numerous examples drawn from various fields, the author demonstrates the practical applications of regression analysis, highlighting its potential to improve the interpretation of experimental data and enhance the precision of research findings. The book offers valuable insights for anyone involved in scientific research, especially those seeking to deepen their understanding of how to draw valid conclusions from experimental data. 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. N� de r�f. du vendeur 9780428644628_0

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