equiprobable
Posted: Fri May 31, 2019 6:52 am
equiprobable
equiprobable için tanımlar
Sıfat
1
(of two or more things) equally likely to occur; having equal probability.
The method remains unbiased as long as the base composition is balanced: failures are equiprobable for X Y and Y X actual changes.
equiprobable örnekleri
The method remains unbiased as long as the base composition is balanced: failures are equiprobable for X Y and Y X actual changes.
To make the method tractable, we approximate this distribution by six equiprobable rate categories.
Assuming equiprobable digits, I have reduced your level of uncertainty by a factor of eight.
Compared to the maximum-likelihood estimator under the equiprobable population, this estimator is very efficient.
Participants were randomly assigned by an ‘adaptive biased coin’ technique, rather than simple equiprobable randomisation, to ensure balance of group numbers.
E increases with both the number of categories (residues at a site) and their equiprobability .
Analyses of such a sample require weighting cases to produce the equivalent of equiprobability , which allows one to produce unbiased estimates of parameters describing the population from which the sample was drawn.
Within the selected age range, one child was selected on an equiprobability basis to generate a total screening sample of 4,500 children.
Daha az örnek
equiprobable için tanımlar
Sıfat
1
(of two or more things) equally likely to occur; having equal probability.
The method remains unbiased as long as the base composition is balanced: failures are equiprobable for X Y and Y X actual changes.
equiprobable örnekleri
The method remains unbiased as long as the base composition is balanced: failures are equiprobable for X Y and Y X actual changes.
To make the method tractable, we approximate this distribution by six equiprobable rate categories.
Assuming equiprobable digits, I have reduced your level of uncertainty by a factor of eight.
Compared to the maximum-likelihood estimator under the equiprobable population, this estimator is very efficient.
Participants were randomly assigned by an ‘adaptive biased coin’ technique, rather than simple equiprobable randomisation, to ensure balance of group numbers.
E increases with both the number of categories (residues at a site) and their equiprobability .
Analyses of such a sample require weighting cases to produce the equivalent of equiprobability , which allows one to produce unbiased estimates of parameters describing the population from which the sample was drawn.
Within the selected age range, one child was selected on an equiprobability basis to generate a total screening sample of 4,500 children.
Daha az örnek