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Practical Three-Way Calibration | Zookal Textbooks | Zookal Textbooks
  • Author(s) Graciela M. Alejandro; Escandar Olivieri
  • Edition1
  • PublishedMarch 2014
  • PublisherElsevier S & T
  • ISBN9780124104082

Practical Three-Way Calibration is an introductory-level guide to the complex field of analytical calibration with three-way instrumental data. With minimal use of mathematical/statistical expressions, it walks the reader through the analytical methodologies with helpful images and step-by-step explanations. Unlike other books on the subject, there is no need for prior programming experience and no need to learn programming languages. Easy-to-use graphical interfaces and intuitive descriptions of mathematical and statistical concepts make three-way calibration methodologies accessible to analytical chemists and scientists in a wide range of disciplines in industry and academia.



  • Numerous detailed examples of slowly increasing complexity
  • Exposure to several different data sets and techniques through figures and diagrams
  • Computer program screenshots for easy learning without prior knowledge of programming languages
  • Minimal use of mathematical/statistical expressions

Practical Three-Way Calibration

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  • Author(s) Graciela M. Alejandro; Escandar Olivieri
  • Edition1
  • PublishedMarch 2014
  • PublisherElsevier S & T
  • ISBN9780124104082

Practical Three-Way Calibration is an introductory-level guide to the complex field of analytical calibration with three-way instrumental data. With minimal use of mathematical/statistical expressions, it walks the reader through the analytical methodologies with helpful images and step-by-step explanations. Unlike other books on the subject, there is no need for prior programming experience and no need to learn programming languages. Easy-to-use graphical interfaces and intuitive descriptions of mathematical and statistical concepts make three-way calibration methodologies accessible to analytical chemists and scientists in a wide range of disciplines in industry and academia.



  • Numerous detailed examples of slowly increasing complexity
  • Exposure to several different data sets and techniques through figures and diagrams
  • Computer program screenshots for easy learning without prior knowledge of programming languages
  • Minimal use of mathematical/statistical expressions
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