binomial

(redirected from binomially)
Also found in: Dictionary, Thesaurus, Encyclopedia.

binomial

 [bi-no´me-al]
composed of two terms, e.g., names of organisms formed by combination of genus and species names.

bi·no·mi·al

(bī-nō'mē-ăl),
A set of two terms or names; in the probabilistic or statistical sense it corresponds to a Bernoulli trial.
See also: binary combination.
[bi- + G. nomos, name]

binomial

(bī-nō′mē-əl)
adj.
Consisting of or relating to two names or terms.
n.
Biology A taxonomic name in binomial nomenclature.

bi·no′mi·al·ly adv.

binomial

adjective Referring to an organism’s binomen—i.e., its genus and species names.

bi·no·mi·al

(bī-nō'mē-ăl)
A set of two terms or names; in the probabilistic or statistical sense it corresponds to a Bernoulli trial.
[bi- + G. nomos, name]
References in periodicals archive ?
Within a Bayesian modeling approach, the beta prior distribution for parameter [p.sub.i] is a conjugated prior when the data are binomially distributed given the response rate.
Defaults are distributed binomially and so most of the probability mass for the default distribution is located within two standard deviations [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] of the expected value of the distribution [a portfolio loss rate of LGD x PD].
Add to this the fly-tipping of large, inorganic waste such as refrigerators, mattresses and building waste, often discarded into inaccessible gorges, and the problem expands binomially.
Seed MC and shoot height were binomially related (R2=0.88) with height between 6.93 and 5.18% MC all significantly higher than the control.
Conditional on [[subset].sub.h [is an element of] W] [V.sub.h] = [v.sub.h], [V.sub.a] and [V.sub.b] are distributed binomially, with parameters [[Pi]*.sub.a] = [[Pi].sub.a]/([[Pi].sub.a] + [[Pi].sub.b]), [[Pi]*.sub.b] = [[Pi].sub.b]/([[Pi].sub.b] + [[Pi].sub.a]), and m* = m - [[Sigma].sub.h [is an element of] W] [v.sub.h].
To account for the fact that the responses are binomially distributed, we model the variance between responses as [z.sub.ij] [e.sub.ij], where
Ordinary least squares (OLS) analysis is inappropriate when the dependent variable is binary, because OLS assumes a linear additive model with normally distributed error terms, while the true probability model is nonlinear with binomially distributed errors (Aldrich and Nelson, 1984).
Green's method compares the variance (or in this case its estimate, the mean squared error [MSE]) of the number of males observed with that expected if the number of males were binomially distributed.
where [[Xi].sub.t] denotes a random shock whose outcome is binomially distributed being realized as:
Under the null hypothesis that scores are attributed randomly and independently, this results in a binomially distributed count (number of high responses out of 6) as the response variable, and logistic regression (McCullagh & Nelder, 1985, chapter 4) can then be used to analyze the responses.
Rather, the equations are each converted into a logit form by solving for the number of council seats held by Hispanics, which is assumed to be distributed binomially. Estimates of ln([beta]), [gamma], and [delta] are then obtained by maximum likelihood estimation.
If individuals move from one size class to the next with a constant probability, then the frequency distribution of the number of individuals changing size class will be a binomially distributed random variable.