Regression in Engineering and the Applied Sciences

Applications in R
2025. Auflage 2025
ISBN: 978-3-031-76671-8
Verlag: Springer International Publishing AG

Buch, Englisch, 205 Seiten, Format (B × H): 168 mm x 240 mm

Reihe: Synthesis Lectures on Mathematics & Statistics

This book presents a broad range of regression models including count regression models, constrained and penalised regression models such as ridge, LASSO, and elasticnet regression that are used in various applied science fields. The author describes the historical development of the least squares principle, simple linear regression, and Polynomial regression. In addition, logistic regression and multiple linear regression are discussed at length. A novel method to estimate the slope of linear regression is presented along with an emphasis on the importance of numeric problems.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Chattamvelli, Rajan

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Types of Regression.- Simple Liner Regression.- Logistic Regression.- Multiple Linear Regression.- Applications of Regression.

Über Autor(innen)

Rajan Chattamvelli, Ph.D., is a Professor in the School of Advanced Sciences at Amrita University, India.  He has published more than 20 research articles in international journals, and his research interests include computational statistics, design of algorithms, parallel computing, data mining, machine learning, blockchain, combinatorics, and big data analytics.