Your English writing platform
Discover LudwigSuggestions(5)
Exact(7)
(mathrm{Win}_{t-1}) denotes the binary variable representing whether the team has won the previous match (0: no win, 1: win).
As independent variables, we included the binary variable representing whether or not the stadium was the home of the team (i.e., home or away) and the ternary result of the previous match (i.e., win, draw, or loss).
where σ d =μ×P R is the probability that the sender node is directly discovered; μ is a binary variable representing whether the sender node is already discovered (μ=0) or not (μ=1).
Table 8 Results of the GLMM analysis for the Fussballdaten data when the results of the previous match were used as the sole independent variables Variable Coefficient SE p -value (mathrm{Win}_{t-1}) −0.482 0.030 <0.001 (mathrm{Loss}_{t-1}) 0.407 0.031 <0.001 (mathrm{Win}_{t-1}) denotes the binary variable representing whether the team has won the previous match (0: no win, 1: win).
The response variable was a binary variable representing whether the gene was involved in a particular biological function.
We let t n be a binary variable representing whether node i is removed and denote by F the set of all forbidden induced subgraphs of a line graph.
Similar(53)
Let g={g i } be random variables describing correspondences between voting elements in the Hough spaces and hypothesis and f={f h } be binary variables representing whether the hypotheses h actually correspond to a real pedestrian.
Mortality was coded as a binary variable representing death or censoring.
Exercise status was treated as a binary variable, representing either some or no reported exercise.
Let x 1 be a binary variable representing the intervention group, x 2 a binary variable representing the survey (baseline vs. final post-intervention), and x 3 an interaction parameter to represent how the intervention is modified by successive surveys.
Let R be a binary random variable representing whether an arbitrary data point X is 'relevant' for a given query set S (R=1) or not (R=0).
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