| 书目名称 | Introduction to Multivariate Calibration |
| 副标题 | A Practical Approach |
| 编辑 | Alejandro C. Olivieri |
| 视频video | http://file.papertrans.cn/474/473946/473946.mp4 |
| 概述 | Simplifies complex concepts qualitatively, minimizing mathematical jargon.Balances theory with practical exercises for comprehensive learning.Showcases cutting-edge multivariate calibration advancemen |
| 图书封面 |  |
| 描述 | .This book contains several new sections that provide even more in-depth knowledge on the topics. New content on the classical least-squares model, which shows its advantages and limitations in greater detail, was added. Additionally, the book contains a new section on the inverse least-squares model, which explains how it differs from the classical model and its applications in chemometrics. Furthermore, a new chapter on principal component analysis, which covers the concept in greater detail and its applications in chemometrics, is added. This book also includes several real-world examples to help you better understand the topic. Overall, this book provides the reader with even more comprehensive knowledge on chemometrics and multivariate calibration, making it an essential resource for students and professionals alike.. |
| 出版日期 | Textbook 2024Latest edition |
| 关键词 | Multivariate calibration; Partial least-squares regression; Analytical figures of merit; Software for m |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-031-64144-2 |
| isbn_softcover | 978-3-031-64146-6 |
| isbn_ebook | 978-3-031-64144-2 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手机版|小黑屋|
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