Linear regression analysis / Graham Molloy.

By: Material type: TextTextPublisher: New York : Larsen & Keller, 2025Description: vii, 235 pages : illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9798888368091
Subject(s): DDC classification:
  • 23 519.536 M738l
LOC classification:
  • QA278.2 .M65 2025
Contents:
Introduction to linear regression -- Regression analysis: key concepts and tools -- Multiple linear regression analysis: key concepts -- Standardization of regression analysis.
Summary: "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"-- Back cover.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Circulation Section CIR 519.536 M738l 2025 (Browse shelf(Opens below)) 1-1 Available 032560

Includes bibliographical references and index.

Introduction to linear regression -- Regression analysis: key concepts and tools -- Multiple linear regression analysis: key concepts -- Standardization of regression analysis.

"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"-- Back cover.

English.

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