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.
| ISBN: | 9783031766718 |
| Publication date: | 25th April 2025 |
| Author: | Rajan Chattamvelli |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 205 pages |
| Series: | Synthesis Lectures on Mathematics & Statistics |
| Genres: |
Probability and statistics Machine learning Mathematical and statistical software |
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.
Regression in Engineering and the Applied Sciences features in the following genres: Probability and statistics, Machine learning, Mathematical and statistical software
Regression in Engineering and the Applied Sciences is available in Hardback
Regression in Engineering and the Applied Sciences was written by Rajan Chattamvelli and published by Springer an imprint of Springer Nature Switzerland
Regression in Engineering and the Applied Sciences has 205 pages
Yes it is part of Synthesis Lectures on Mathematics & Statistics series
£32.39