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Thinking mainly in terms of repertory, I chose a week of concerts to be a random sample, with Baroque and contemporary works, a symphonic-choral rarity, scores with improvisatory elements and a performance by a student ensemble.
Let be a random sample of independent identically distributed observations.
Let be a random sample of random variables with two-parameter Weibull distribution, and.
Let (X_{1}, X_{2}, ldots, X_{n}) be a random sample of size n drawn from (F cdot)).
Let X 1, X 2, …, X n be a random sample of size n drawn from the GC.
Let {t 1,t 2,⋯,t n } be a random sample from the BS distribution with the cdf in (1).
Let x = (x1,⋯,x n ) T be a random sample of the EKD distribution with unknown parameter vector Θ = T.
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Indeed, the best sampling strategy appears to be a random sampling of half of the characters.
As the subcohort is a random sample of the entire trial, the randomized design is not compromised.
Suppose X1,X2,…,Xn is a random sample from Np θ,V).
Then, we can assume that the synthetic file is a random sample from a synthetic distribution.
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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