Data-Driven Method to Estimate Nonlinear Chemical Equivalence

Michael Mayo; Zachary A. Collier; Corey Winton; Mark A Chappell

doi:10.1371/journal.pone.0130494

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Peer-reviewed

Research Article

Data-Driven Method to Estimate Nonlinear Chemical Equivalence

Michael Mayo ,

* E-mail: Michael.L.Mayo@usace.army.mil

Affiliation Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, MS, 39183, United States of America
⨯
Zachary A. Collier,

Affiliation Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, MS, 39183, United States of America
⨯
Corey Winton,

Affiliation Information Technology Laboratory, US Army Engineer Research and Development Center, Vicksburg, MS, 39183, United States of America
⨯
Mark A Chappell

Affiliation Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, MS, 39183, United States of America
⨯

Data-Driven Method to Estimate Nonlinear Chemical Equivalence

Michael Mayo,
Zachary A. Collier,
Corey Winton,
Mark A Chappell

Published: July 9, 2015
https://doi.org/10.1371/journal.pone.0130494

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Correction

Posted by mlmayo on 27 Jul 2015 at 13:59 GMT

A typographical error was introduced into the manuscript at the production step by the production team, and PLoS One will be addressing this error on 30 July, 2015.

Equations (5) & (6) should reflect opposing "sides" of the concentration-concentration relationship; therefore, the "less than or equal to" symbol of Eq. (6) should be replaced with a "greater than" symbol.

No competing interests declared.

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Data-Driven Method to Estimate Nonlinear Chemical Equivalence

Data-Driven Method to Estimate Nonlinear Chemical Equivalence

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Correction

Posted by mlmayo on 27 Jul 2015 at 13:59 GMT