Mathematical processing of spectral data in analytical chemistry : a guide to error analysis / by Joseph Dubrovkin.

Format:

Book

Author/Creator:

Dubrovkin, Joseph, author.

Language:

English

Subjects (All):

Spectrum analysis--Data processing.

Spectrum analysis.

Chemistry--Data processing.

Chemistry.

Physical Description:

1 online resource (379 pages)

Edition:

1st ed.

Place of Publication:

Newcastle upon Tyne, UK : Cambridge Scholars Publishing, 2018.

Summary:

This book will appeal to both practitioners and researchers in industrial and university analytical laboratories, as well as students specializing in analytical spectroscopy and chemometrics. The subjects covered include the advanced principles of calibration (univariate and multivariate) and the estimation of the peak parameters in spectra with overlapping components. This book differs from existing studies on the subject in that it provides easily reproducible computer calculations illustrating its significant theoretical statements. As such, it can also serve as a practical guide to lecturers in analytical spectrometry and chemometrics.

Contents:

Intro

Table of Contents

Acknowledgements

Preface

About the Structure of the Book

Abbreviations

Part I: Introduction to Error Analysis

Chapter One

Chapter Two

Chapter Three

Chapter Four

Part II: Univariate Calibration

Part III: Multivariate Calibration and Prediction

Introduction

Chapter Five

Chapter Six

Chapter Seven

Part IV: Decomposition of Overlapping Peaks

Chapter Eight

Appendix A

Appendix B

Appendix C

Appendix D

Appendix E

Appendix F

Appendix G

Appendix H

Appendix I

Bibliography

Index.

Notes:

Description based on metadata supplied by the publisher and other sources.

Description based on publisher supplied metadata and other sources.

ISBN:

1-5275-2666-6

OCLC:

1084357525