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Regression in engineering and the applied sciences
Hardback
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- Book Synopsis
- 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.
- About The Author
- 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.
- Product Details
-
- ISBN
- 9783031766718
- Format
- Hardback
- Publisher
- Springer, (25 April 2025)
- Number of Pages
- 205
- Language
- English
- Dimensions
- 240 x 168 mm
- Series:
- See all books in this series
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