Xiaoli Chu,Yue Huang,Yong-Huan Yun,Xihui Bian
Chemometric Methods in Analytical Spectroscopy Technology
Chemometric Methods in Analytical Spectroscopy Technology
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- More about Chemometric Methods in Analytical Spectroscopy Technology
This book provides a comprehensive overview of chemometric methods for spectroscopy analysis, covering NIR, MIR, Raman, NMR, and LIBS. It discusses representative sample selection algorithms, outlier detection algorithms, model updating and maintenance algorithms, and calibration performance evaluation methods. It also highlights recent scientific research and practical applications, making it a valuable reference for researchers in analytical spectroscopy, chemometrics, analytical instruments, and related fields.
Format: Hardback
Length: 595 pages
Publication date: 25 May 2022
Publisher: Springer Verlag, Singapore
This comprehensive book delves into the realm of chemometric methods for spectroscopy analysis, encompassing a wide range of techniques such as Near-Infrared (NIR), Mid-Infrared (MIR), Raman, Nuclear Magnetic Resonance (NMR), and Laser Induced Breakdown Spectroscopy (LIBS). With a focus on practical applied spectroscopy, it offers a detailed exploration of all aspects related to chemometrics, including representative sample selection algorithms, outlier detection techniques, model updating and maintenance algorithms, and strategies for calibration performance evaluation.
To provide a systematic and comprehensive understanding of the latest advancements in chemometric methods, the book presents a comprehensive overview of recent scientific research and practical applications. Additionally, it highlights the improvement of classical algorithms and the extension of common strategies, making it an invaluable reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments, and other related fields.
The book is organized into five chapters, each dedicated to a specific aspect of chemometric methods for spectroscopy analysis. Chapter 1 provides an introduction to chemometrics and spectroscopy analysis, while Chapter 2 focuses on representative sample selection algorithms. Chapter 3 explores outlier detection techniques, Chapter 4 discusses model updating and maintenance algorithms, and Chapter 5 explores strategies for calibration performance evaluation.
In conclusion, this book is a valuable resource for researchers, practitioners, and students seeking to advance their knowledge and understanding of chemometric methods for spectroscopy analysis. Its comprehensive coverage of various techniques, practical applications, and recent advancements makes it an essential tool for anyone involved in analytical spectroscopy technology and chemometrics.
Weight: 1075g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811916243
Edition number: 1st ed. 2022
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