binomial

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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

/bi·no·mi·al/ (bi-no´me-al) composed of two terms, e.g., names of organisms formed by combination of genus and species names.

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

[bīnō′mē·əl]
1 containing two names or terms.
2 the unique, two-part scientific name used to identify a plant. The first name is the genus; the second, the species. A designation of the variety may also follow to further differentiate the plant. Use of the binomial is the only reliable way to accurately specify a particular herb, since common names differ from region to region and a single common name may often denote several herbs that differ widely from one another.

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]

binomial (bī·nōˑ·mē·l),

n the taxonomic name for plants that always consists of two parts: the genus, which is the first name and is always capitalized, and the species, which is the second name and is always lower-case. These names should be used instead of common names to avoid confusion in the identification of herbs. Also called
botanical name, Latin name, or
scientific name.

binomial

composed of two terms, e.g. names of organisms formed by combination of genus and species names.

binomial distribution
categorization of a group into two mutually exclusive subgroups, e.g. sick and not sick.
binomial population
a population which can be divided into a binomial distribution.
References in periodicals archive ?
The transformed response rates are a priori beta distributed, which is the conjugated prior for the binomially distributed likelihood.
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.
t] denotes a random shock whose outcome is binomially distributed being realized as:
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.
However, in the case of DC data, it is extremely unlikely that an assumption of normality will be adequate, and we will have to use a nonlinear model, such as the logistic models presented in [1] and [2] where we make the assumption that the errors associated with respondents are binomially distributed.
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).
Similary, for binomially distributed data [delat] [inifinity] [or] [mu](1 - [mu]) and hence the Box-Cox transformation is Sin[sup.
We calculated exact 95% confidence intervals for FO by assuming that the number of scat in a collection containing a given prey was binomially distributed.
Lemma 2 Let X be a binomially distributed variable.
We can go beyond the first two moments of the company's exposure and compute the entire distribution by recognizing that a sum of independent Bernoulli trials is Binomially distributed.
Given this probability, the number of group members actually contributing is binomially distributed with a single event probability of 5/6 [psi].