Author’s Accepted Manuscript Data-driven soft sensor approach for online quality prediction using state dependent parameter models Bahareh Bidar, Jafar Sadeghi, Farhad Shahraki PII: S0169-7439(16)30289-1 DOI: http://dx.doi.org/10.1016/j.chemolab.2017.01.004 Reference: CHEMOM3376 To appear in: Chemometrics and Intelligent Laboratory Systems Received date: 7 September 2016 Revised date: 7 December 2016 Accepted date: 8 January 2017 Cite this article as: Bahareh Bidar, Jafar Sadeghi and Farhad Shahraki, Data driven soft sensor approach for online quality prediction using state dependen parameter models, Chemometrics and Intelligent Laboratory Systems http://dx.doi.org/10.1016/j.chemolab.2017.01.004 This is a PDF file of an unedited manuscript that has been accepted fo publication. As a service to our customers we are providing this early version o the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain www.elsevier.com