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.…mehr
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.
Richard Kramer has worked as a manufacturers' agent for over 20 years. He has been actively doing church work, various volunteer work, and serving the Lord for over 30 years. During this time, he suffered through many difficult moments. At one point, Richard found himself homeless. It was the Lord who helped him climb back up and keep going on. At that period of his life, he learned that life requires a relationship of complete trust in and dependence on the Lord.
Inhaltsangabe
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.
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.
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