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We estimated the coefficients of each term in Eq. (1) using a least-squares fitting from coordinate time series before the IMNE (January 1 , 2006 June 12 , 2008
To further investigate their relation, for each journal set we estimated the coefficients of the linear regression model, s i = β 0 + β 1 z i ( 1 ) + β 2 log 10 N p, i + β 3 〈 z i 〉.
In practice, Leontief estimated the coefficients of his simple models, to address economically interesting questions.
Similar to univariate ARIMA fitting process, we further estimated the coefficients of the AR and MA terms as well as the lagged environmental variable.
We estimated the coefficients of the logistic regression model in the entire development dataset.
First, we estimated the coefficients of the different individual socio-demographic variables in a single model (Model 1).
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For each partition, we also estimated the coefficient of variation (COV) statistic.
The method of maximum likelihood is used for estimating the coefficients of the estimators.
Unlike the stepwise procedure, the method simultaneously quantifies and estimates the coefficients.
The real value of R is required for estimating the coefficients used in the guided filter.
L1-norm optimization is then exploited to estimate the coefficients of the model.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com