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olivieri introduction multivariate calibration practical appr 2ed 2024

Type:: E-books
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Size:: 12.5 MB
Uploaded On:: July 22, 2024, 8:47 a.m.
Added By:: andryold1
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Textbook in PDF format 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. Foreword Preface About This Book Chemometrics and Multivariate Calibration The Classical Least-Squares Model The Inverse Least-Squares Model Principal Component Analysis Principal Component Regression The Optimum Number of Latent Variables The Partial Least-Squares Model Models Considering the Noise Structure Sample and Sensor Selection Mathematical Pre-processing Analytical Figures of Merit MVC1: Software for Multivariate Calibration Non-linearity and Artificial Neural Networks. Radial Basis Functions and Kernel Partial Least-Squares Non-linearity and Artificial Neural Networks. Multi-layer Perceptron Solutions to Exercises

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Olivieri A. Introduction to Multivariate Calibration. A Practical Appr. 2ed 2024.pdf 12.5 MB

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olivieri introduction multivariate calibration practical appr 2ed 2024