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Chemometric Techniques for Quantitative Analysis

Autor Richard Kramer
en Limba Engleză Hardback – 10 iun 1998
Chemometric Techniques for Quantitative Analysis shows how to produce and use quantitative analytical calibrations in a laboratory or production environment following a variety of methods, how to estimate the time and resources needed to develop analytical calibrations, and how to employ the quantitative software provided with a wide range of instruments and commercial software packages. Among several, this bestselling volume covers basic and classical approaches, component regression; PCR in action; partial least squares; PLS in action. An extensive appendix offers a glossary, a list of errors and tests for reduced Eigenvalues.
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Specificații

ISBN-13: 9780824701987
ISBN-10: 0824701984
Pagini: 220
Dimensiuni: 152 x 229 x 17 mm
Greutate: 0.57 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press

Public țintă

Professional and Professional Practice & Development

Cuprins

Basic approach; creating some data; classical least-squares; inverse least-squares; factor spaces; principal component regression; PCR in action; partial least squares; PLS in action; appendix A - matrices and matrix operations; appendix B - errors -some definitions of terminology; appendix C - centering and scaling; appendix D - F-tests for reduced eigenvalues; appendix E - leverage and influence.

Notă biografică

Richard Kramer (Aprotec, Inc., SHARON, USA)

Descriere

This bestselling book shows how to produce and use quantitative analytical calibrations in a laboratory or production environment following a variety of methods. It also illustrates how to estimate the time and resources needed to develop analytical calibrations, and how to employ the quantitative software provided, using a wide range of instruments and commercial software packages. This volume covers basic and classical approaches, component regression, PCR in action, partial least squares, and PLS in action. The book’s extensive appendix offers a glossary, a list of errors, and tests for reduced Eigenvalues.