Zobrazeno 1 - 2
of 2
pro vyhledávání: '"G. A. Barron-Gafford"'
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 2009-2032 (2019)
Bayesian inference of microbial soil respiration models is often based on the assumptions that the residuals are independent (i.e., no temporal or spatial correlation), identically distributed (i.e., Gaussian noise), and have constant variance (i.e.,
Externí odkaz:
https://doaj.org/article/1ba471937bea4084a65e169a0fd3bb64
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 2009-2032 (2019)
Bayesian inference of microbial soil respiration models is often based on the assumptions that the residuals are independent (i.e., no temporal or spatial correlation), identically distributed (i.e., Gaussian noise), and have constant variance (i.e.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::444533b159b866a7771c8da886e669d2
https://doi.org/10.5194/gmd-2018-272
https://doi.org/10.5194/gmd-2018-272
