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Title: Mobile sensing of point-source gas emissions using Bayesian inference: An empirical examination of the likelihood function

Authors:
ORCiD logo; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1569489
Grant/Contract Number:  
AR0000749
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Atmospheric Environment (1994)
Additional Journal Information:
Journal Name: Atmospheric Environment (1994) Journal Volume: 218 Journal Issue: C; Journal ID: ISSN 1352-2310
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Zhou, Xiaochi, Montazeri, Amir, and Albertson, John D. Mobile sensing of point-source gas emissions using Bayesian inference: An empirical examination of the likelihood function. United Kingdom: N. p., 2019. Web. doi:10.1016/j.atmosenv.2019.116981.
Zhou, Xiaochi, Montazeri, Amir, & Albertson, John D. Mobile sensing of point-source gas emissions using Bayesian inference: An empirical examination of the likelihood function. United Kingdom. doi:10.1016/j.atmosenv.2019.116981.
Zhou, Xiaochi, Montazeri, Amir, and Albertson, John D. Sun . "Mobile sensing of point-source gas emissions using Bayesian inference: An empirical examination of the likelihood function". United Kingdom. doi:10.1016/j.atmosenv.2019.116981.
@article{osti_1569489,
title = {Mobile sensing of point-source gas emissions using Bayesian inference: An empirical examination of the likelihood function},
author = {Zhou, Xiaochi and Montazeri, Amir and Albertson, John D.},
abstractNote = {},
doi = {10.1016/j.atmosenv.2019.116981},
journal = {Atmospheric Environment (1994)},
number = C,
volume = 218,
place = {United Kingdom},
year = {2019},
month = {12}
}

Journal Article:
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This content will become publicly available on October 5, 2020
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