Your English writing platform
Free sign upExact(56)
For continuous moderators, meta-regression analyses employed a restricted maximum likelihood model with the Knapp-Hartung method15.
It is demonstrated that the maximum likelihood model is highly accurate in reservoir performance prediction.
We present a maximum likelihood model to estimate the age of retrotransposon subfamilies.
This procedure is typically time- and resource-consuming, requiring sophisticated lensing codes, several data preparation steps, and finding the maximum likelihood model parameters in a computationally expensive process with downhill optimizers1.
The maximum likelihood model is then used in forecasting the fine grid performance, and the uncertainty associated with the predictions is quantified.
We use alignments derived from an all-on-all sequence comparison to define domains within protein sequences based on a global maximum likelihood model.
The deviance statistic is defined as: -2*log(Maximum Likelihood (model)) (9).
Similar(4)
Structural equation maximum likelihood model-fitting analyses were performed in the program Mx [39] using the standard twin model.
We evaluate the significance of diversity bipartitions under Equal Rates Markov models, and use maximum likelihood model-fitting to test for shifts in diversification rates.
Prior to the phylogenetic analysis, the best fit of nucleotide evolutionary model for each gene was selected based on maximum-likelihood model fitting in the software MEGA.
To assess the influence of small fragments, large fragments and shot together, we adapted the maximum-likelihood model described above as described in the Methods.
Write better and faster with AI suggestions while staying true to your unique style.
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