Results 1 to 10 of about 101,920 (145)
An Exponential-Negative Binomial Distribution
A new three-parameter distribution is proposed for modeling lifetime data. It is advocated as most reasonable among the many exponential mixture type distributions proposed in recent years.
Sadegh Rezaei , Saralees Nadarajah
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Sequence count data are poorly fit by the negative binomial distribution. [PDF]
Sequence count data are commonly modelled using the negative binomial (NB) distribution. Several empirical studies, however, have demonstrated that methods based on the NB-assumption do not always succeed in controlling the false discovery rate (FDR) at ...
Stijn Hawinkel +3 more
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The study of statistical distributions in a complex variable is one of the most vibrant areas of research. The complex analogue of many distributions has been studied.
Rubab Nawaz +5 more
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The negative binomial-weighted Lindley distribution [PDF]
This paper proposes a new distribution named the negative binomial-weighted Lindley. The study uses the maximum likelihood estimation to estimate the parameters of the proposed distribution and compares the performance of the new method with other ...
Sunthree Denthet , Pramoch Promin
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Computation of the Distribution of the Sum of Independent Negative Binomial Random Variables
The distribution of the sum of negative binomial random variables has a special role in insurance mathematics, actuarial sciences, and ecology. Two methods to estimate this distribution have been published: a finite-sum exact expression and a series ...
Marc Girondot, Jon Barry
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Process Capability and Performance Indices for Discrete Data
Process capability and performance indices (PCIs and PPIs) are used in industry to provide numerical measures for the capability and performance of several processes. The majority of the literature refers to PCIs and PPIs for continuous data.
Vasileios Alevizakos
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A note on negative λ-binomial distribution
In this paper, we introduce one discrete random variable, namely the negative λ-binomial random variable. We deduce the expectation of the negative λ-binomial random variable.
Yuankui Ma, Taekyun Kim
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A New Neutrosophic Negative Binomial Distribution: Properties and Applications
Many problems in real life exist that are full of confusion, vagueness, and ambiguity. The quantification of such issues in a scientific way is the need of time.
Rehan Ahmad Khan Sherwani +4 more
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On the Accuracy of the Generalized Gamma Approximation to Generalized Negative Binomial Random Sums
We investigate the proximity in terms of zeta-structured metrics of generalized negative binomial random sums to generalized gamma distribution with the corresponding parameters, extending thus the zeta-structured estimates of the rate of convergence in ...
Irina Shevtsova, Mikhail Tselishchev
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Comparisons of statistical distributions for cluster sizes in a developing pandemic
Background We consider cluster size data of SARS-CoV-2 transmissions for a number of different settings from recently published data. The statistical characteristics of superspreading events are commonly described by fitting a negative binomial ...
M. J. Faddy, A. N. Pettitt
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