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Springer Chemometrics: Mathematics and Statistics in Chemistry

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Description

As computerized laboratory automation creates a massive data explosion, chemists require effective tools to extract meaningful information from their results. This volume from the Nato Science Series C provides a necessary bridge between chemical research and the applied mathematics and statistics needed to navigate modern data sets. Many chemists face barriers when trying to learn chemometrics due to a confusing body of literature. This text addresses the common confusion caused by mixing chemical notation and nomenclature with the terminology used in statistics, applied mathematics, and engineering. By addressing these linguistic and methodological gaps, this book helps researchers better understand the mathematical foundations of their work. Whether you are working in physical chemistry or managing large-scale automated laboratory data, this Springer publication serves as a guide to the mathematical methods essential for modern chemical analysis. It helps bridge the gap between chemical practice and mathematical theory to improve how information is processed and understood in the laboratory.

Key Features

Addresses the data explosion caused by modern computerized laboratory automation.

Helps chemists extract useful chemical information from complex data sets using applied mathematics.

Clarifies the confusion between chemical notation and statistical or engineering nomenclature.

Provides a resource for navigating the difficult literature surrounding chemometrics.

Part of the respected Nato Science Series C published by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
30 December 2010
Listed Since
20 September 2010

Barcode

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