# binomial

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## Synonyms for binomial

### having or characterized by two names, especially those of genus and species in taxonomies

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References in periodicals archive ?
For Mixon, the negative binomial distribution with q = 2.
The k parameter of the negative binomial distribution estimated by the maximum likelihood method is calculated iteratively and is the value that equates the two members of the following (Bliss and Fisher, 1953):
Definition: A random variable X is said to follow Binomial distribution, if it assumes only nonnegative values and its probability mass function is given by,
The commonly used testing methods include life testing (test-to-failure), binomial testing (pass or fail), and degradation testing [1, 3].
From the perspective of statistical modeling, the Poisson and negative binomial count models have typically been used for traffic accident analyses.
The negative binomial model with lag (28) for Lahore daily data for climatic variable is best model.
6 Note that a binomial B(n, p) variable is the sum of n independent Bern(p) variables
The main contention of this paper relies on detecting the existence of skill with the generalized binomial distribution, using an established analogy with winning in sports.
However, according to the alternative exact binomial statistical method, the company met the study endpoint at interim.
El objetivo del trabajo es cientifico-didactico, centrandose en desarrollar, comparar y diferenciar los resultados obtenidos de aplicar el tradicional modelo binomial de valoracion de opciones (Trigeorgis, 1995) con el modelo binomial borroso (fuzzy binomial valuation approach) (Liao y Ho, 2010).
Binomial Fuzzy Models Adecuaciones del modelo binomial a la logica borrosa trabajando con numeros triangulares o trapezoidales en la estimacion de los movimientos ascendentes y descendentes Muzzioli y Torricelli (2004); Yoshida, Yasuda, Nakagami y Kurano (2006); Zdnek Zmeskal (2010); Liao y Ho (2010).
El modelo supone que el comportamiento de las variables aleatorias sigue un proceso estocastico geometrico browniano (GBM) en tiempo discreto, por lo tanto el planteo analitico se basa en el clasico modelo binomial CRR (Cox, Ross y Rubinstein, 1979) y en el desarrollo propuesto por Broadie y Kaya (2007).
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