Methods of Correlation and Regression Analysis: Linear and Curvilinear (Classic Reprint) - Tapa blanda

Methods of Correlation and Regression Analysis: Linear and Curvilinear

Paperback. Condición: New. Print on Demand. This book presents an accessible and comprehensive guide to the core methods of correlation and regression analysis. Originating in the pivotal work done by the author and their colleagues in economic research over the past century, this book focuses on establishing a practical understanding of the most effective methods for discovering the relationships between variables in data analysis. With an emphasis on non-linear regression, it provides practical methods, numerical examples, and technical explanations to help deepen readers' understanding of the statistical tests and theories that underpin correlation and regression analyses. Throughout the book, there is a focus on the variability of a statistical series and methods for understanding the relationship between two or more variables, enabling readers to understand the practical application of these methods in many different fields of work. This book is invaluable not only to statisticians and data analysts but also to researchers in the social and natural sciences who need a comprehensive and accessible text on the subject. 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. Nº de ref. del artículo: 9781527905849_0

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