OSA's Digital Library

Applied Spectroscopy

Applied Spectroscopy

| PUBLISHED BY SAS — AVAILABLE FROM SAS AND OSA

  • Vol. 54, Iss. 1 — Jan. 1, 2000
  • pp: 54–61

Simulation Studies on Modeling Process NMR Data by Using Chemometrics Approach

Xiaonian Lai, Maziar Sardashti, Bobby J. Lane, Jason J. Gislason, and Daniel J. O'Donnell

Applied Spectroscopy, Vol. 54, Issue 1, pp. 54-61 (2000)


View Full Text Article

Acrobat PDF (234 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations
  • Export Citation/Save Click for help

Abstract

A simulation study was conducted to evaluate the feasibility of using chemometrics methods to analyze process nuclear magnetic resonance (NMR) data. Using the computer-generated NMR data, training sets and validation sets were constructed to represent several real-world application scenarios. The experimental factors (the spectral noise, the reference measurement error, and the nonlinearity) that affect the performance of a partial least-square (PLS) model were systematically investigated.

Citation
Xiaonian Lai, Maziar Sardashti, Bobby J. Lane, Jason J. Gislason, and Daniel J. O'Donnell, "Simulation Studies on Modeling Process NMR Data by Using Chemometrics Approach," Appl. Spectrosc. 54, 54-61 (2000)
http://www.opticsinfobase.org/as/abstract.cfm?URI=as-54-1-54

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited