Results 51 to 60 of about 288,133 (184)

A Bivariate Model based on Compound Negative Binomial Distribution

Revista Colombiana de Estadística
A new bivariate model is introduced by compounding negative binomial and geometric distributions. Distributional properties, including joint, marginal and conditional distributions are discussed.
Maha Omair, Fatimah Almuhayfith, Abdulhamid Alzaid   +2 more
doaj   +1 more source

The zero inflated negative binomial – Crack distribution: some properties and parameter estimation [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2015
The zero inflated negative binomial-Crack (ZINB-CR) distribution is a mixture of Bernoulli distribution and negative binomial-Crack (NB-CR) distribution, which is an alternative distribution for the excessive zero counts and overdispersion.
Pornpop Saengthong, Winai Bodhisuwan, Ampai Thongteeraparp   +2 more
doaj  

Bayes and empirical bayes estimation of parameter K in negative binomial distribution [PDF]

Journal of Hyperstructures, 2013
In this paper, the problem of estimating the number of successes, k, in a negative binomial distribution for both known and unknown probability p of success are examined by a Bayesian point of view. Also, we introduce two estimations for the parameter of
Masoud Ganji, Nasrin Eghbali, Masoud Azimian   +2 more
doaj   +1 more source

Estimation for the bivariate negative binomial distribution

Journal of Statistical Computation and Simulation, 1985
Subrahmaniam and Subrahmaniam (1973) have considered several estimation procedures for the parameters of the bivariate negative binomial distribution. In this paper even-point estimators are examined and relative comparisons with maximum likelihood, moment and zero-zero cell frequency estimators are given.
Loukas, S., Papageorgiou, H.
openaire   +3 more sources

NBLDA: Negative Binomial Linear Discriminant Analysis for RNA-Seq Data

, 2015
RNA-sequencing (RNA-Seq) has become a powerful technology to characterize gene expression profiles because it is more accurate and comprehensive than microarrays. Although statistical methods that have been developed for microarray data can be applied to
Dong, Kai, Tong, Tiejun, Wan, Xiang, Zhao, Hongyu   +3 more
core   +1 more source

Linking the Negative Binomial and Logarithmic Series Distributions via their Associated Series Relacionando las distribuciones binomial negativa\ y logarítmica vía sus series asociadas

Revista Colombiana de Estadística, 2008
The negative binomial distribution is associated to the series obtained by taking derivatives of the logarithmic series. Conversely, the logarithmic series distribution is associated to the series found by integrating the series associated to the ...
MAURICIO SADINLE
doaj  

Negative binomial multiplicity distribution from binomial cluster production

Zeitschrift für Physik C: Particles and Fields, 1990
Two step interpretation of negative binomial multiplicity distribution as a compound of binomial cluster production and negative binomial like cluster decay distribution is proposed. In this model we can expect the average multiplicity for the cluster production increases with increasing energy, different from a compound Poisson-Logarithmic ...
C. Iso, K. Mori
openaire   +1 more source

Generalized distributions of order k associated with success runs in Bernoulli trials

International Journal of Mathematics and Mathematical Sciences, 2003
In a sequence of independent Bernoulli trials, by counting multidimensional lattice paths in order to compute the probability of a first-passage event, we derive and study a generalized negative binomial distribution of order k, type I, which extends to ...
Gregory A. Tripsiannis, Afroditi A. Papathanasiou, Andreas N. Philippou   +2 more
doaj   +1 more source

On bivariate generalized binomial and negative binomial distributions

Metrika, 1981
The present paper deals with two types of generalized general binomial (binomial or negative binomial) distributions: (i) a univariate general binomial generalized by a bivariate distribution and (ii) a bivariate general binomial generalized by two independent univariate distributions.
Charalambides, Ch.A., Papageorgiou, H.
openaire   +3 more sources

On the Conflation of Negative Binomial and Logarithmic Distributions

Axioms
In recent decades, the study of discrete distributions has received increasing attention in the field of statistics, mainly because discrete distributions can model a wide range of count data.
Anfal A. Alqefari, Abdulhamid A. Alzaid, Najla Qarmalah   +2 more
doaj   +1 more source