Binomial Model

A model for mathematically pricing options. The model divides the time between the writing of an option and its expiration into many small increments. It considers changes to the price of the underlying asset during each increment and how that would affect what the option price ought to be. Along with the Black-Scholes model, it is a very common option pricing model.

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First, we identified the environmental triggers that might have an impact on rescue inhaler use through an unadjusted zero-truncated negative binomial model.

Feasibility of deploying inhaler sensors to identify the impacts of environmental triggers and built environment factors on asthma short-acting bronchodilator use

Even with a significant value for the chi-square test in some cases, the negative binomial model is the most suitable for explaining and predicting the spatial distribution of the pest, confirming that the distribution of the mite is aggregated (PERECIN and OLIVEIRA, 1979; PINTO et al.

Spatial distribution and sequential sampling of Brevipalpus phoenicis in Citrus/Distribuicao espacial e amostragem sequencial de Brevipalpus phoenicis em Citrus

The log-likelihood, deviance and Pearson residual results verify that the zero-inflated negative binomial model with random effects in both link functions provides a better fit for the sampled data.

Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution/Modelagem de dados huanglongbing citricos usando um modelo binomial negativo inflacionado de zero

Manely and Niquidet (2010) used a two state binomial model developed by Cox et al.

The key literature of, and trends in, forestry investment decisions using real options analysis/Les courants et la litterature-cle des decisions d'investissement en foresterie utilisant une analyse des options reelles/Literatura clave y tendencias sobre las decisiones de inversion forestal basadas en el analisis de opciones reales

Although there have been numerous studies that have attempted to understand factors that influence accident frequencies at intersections in Korea using various statistical modeling methods (linear regression [8], Poisson model [9,10], negative binomial model [11-13], and logistic regression [14]), few researchers have used a random parameter count models as another methodological alternative in accident frequencies analysis [15,16].

Random Parameter Negative Binomial Model of Signalized Intersections

The negative binomial model with lag (28) for Lahore daily data for climatic variable is best model.

Using PCA, Poisson and Negative Binomial Model to Study the Climatic Factor and Dengue Fever Outbreak in Lahore

He is further the co-creator of Risk-Neutral Pricing and of the Binomial Model for Pricing Derivatives.

Germany : Stephen A. Ross receives Deutsche Bank Prize in Financial Economics 2015

We studied the possibility of modeling Bai Al Arboun using the Binomial Model.

Modelling "Bai Al Arboun" using binomial model

For binomial data, the effect is the value of the parameter P in a binomial model.

Beware of inferential errors and low power with Bayesian analyses: power analysis is needed for confirmatory research/Attention aux erreurs inferentielles etaux faibles puissances dans les analyses bayesiennes: l'analyse de puissance est necessaire pour la recherche confirmatoire/Vorsicht vor inferenzfehlern und geringer teststarke bei bayesschen analysen: eine analyse der teststarke wird bei bestatigungsforschung benotigt ..

Silva and Cirillo (2010) produced studies related to the use of a robust estimator used in the inference of a binomial model contaminated by the mixture of binomial populations, when samples were obtained through Monte Carlo simulations.

Improvement of the Wald method applied to the evaluation of zero-inflated binomial linear functions/Aprimoramento do metodo de Wald aplicado a estimacao de funcoes lineares binomiais com excesso de zeros

Given that we analyze weekly data and frequently observe zero fatalities in some counties, we estimate a conditional fixed-effects negative binomial model to account for overdispersion in fatality counts (Hausman, Hall, and Griliches 1984).

Fast times during spring breaks: are traffic fatalities another consequence?

Given that we obtained similar results with each of these two estimators, we will focus on reporting the negative binomial model results because the coefficient estimates from the NB model are more easily interpretable.