Abstract

The success of chemometric techniques that operate on data obtained from experiments is often considerably improved if the data have been acquired by a systematic design. The intimate relationships among good chemometric results and good models, good measurement processes, and good experimental designs are shown. A bibliography of the applications of sequential simplex optimization in chemometrics is presented.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.