Linear Regression Analysis
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Regression analysis, a key component of statistical modeling, is a technique used to explore and quantify the relationship between dependent and independent variables. It plays a crucial role in forecasting and prediction. Linear models, which utilize a linear predictor function to establish these relationships, are commonly employed in this context. The field examines various models, including hierarchical linear models, general linear models, and generalized linear models. This book provides comprehensive insights into the field of linear regression analysis. Some of the diverse topics cover...
Regression analysis, a key component of statistical modeling, is a technique used to explore and quantify the relationship between dependent and independent variables. It plays a crucial role in forecasting and prediction. Linear models, which utilize a linear predictor function to establish these relationships, are commonly employed in this context. The field examines various models, including hierarchical linear models, general linear models, and generalized linear models. This book provides comprehensive insights into the field of linear regression analysis. Some of the diverse topics covered in this book address the varied branches that fall under this category. In this book, constant effort has been made to make the understanding of the difficult concepts of the discipline as easy and informative as possible, for the readers.
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