## Basic Chemometric Techniques in Atomic SpectroscopyThis is the first book for atomic spectroscopists to present the basic principles of experimental designs, optimization and multivariate regression. Multivariate regression is a valuable statistical method for handling complex problems (such as spectral and chemical interferences) which arise during atomic spectrometry. However, the technique is underused as most spectroscopists do not have time to study the often complex literature on the subject. This practical introduction uses conceptual explanations and worked examples to give readers a clear understanding of the technique. Mathematics is kept to a minimum but, when required, is kept at a basic level. |

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### Contents

A General Overview of Atomic Spectrometric Techniques | 1 |

References | 47 |

Experimental Design | 51 |

Ordinary Multiple Linear Regression and Principal | 160 |

Partial LeastSquares Regression | 181 |

References | 236 |

Multivariate Regression using Artiﬁcial Neural Networks | 244 |

References | 276 |