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Exact(1)
Then the binomial combination of the right-hand side in (2.1) is convex since its coefficients α − γ λ ≥ α − γ = 1 − β ≥ 0 and also β − γ μ ≥ 0. So, the combination α a + β b − γ c belongs to conv { a, b }.
Similar(58)
The above binomial combination of a and b is convex if, and only if, the number x belongs to the interval [ a, b ].
As a result, we arrive at a combination of the binomial distribution with a beta density function: (3) Prob (X = x ) = (n x ) Γ Γ (α + x ) Γ (β + n − x ) Γ Γ (α + β + n ) where x takes on the values 0, 1, 2... n, and α and β are positive.
Simulations were performed 100 times for each combination of the negative binomial parameters r and p, which represent the bin abundance.
We assumed a binomial error structure and a logit link between the response variables and the linear combination of the explanatory variables.
A combination of the above?
Or any combination of the above.
I suspect some combination of the two.
"The combination of the two is important.
The combination of the two is exquisite.
First of all, we recapitulate the basic notations of affinity and convexity relating to the binomial combinations.
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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