Results 11 to 20 of about 149,553 (251)
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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Spatial distribution in marine invertebrates in rocky shore of Araucania Region (38° S, Chile) [PDF]
The rocky shores in Chile have a wide invertebrate species diversity, that include species with marked abundances in determined regions. The aim of the present study is to analyse the spatial distribution pattern in different marine invertebrate species ...
P. De los Ríos, E. Carreño
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The Meaning of Binomial Distribution [PDF]
Two generalizations of the simple binomial distribution are common in statistical text-books, one due to W. Lexis and the other to S. D. Poisson. Lexis considered the case in which the probability of an event occurring, p, is constant in the N trials of one experiment, but varies among several such experiments.
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Implementasi statistika sebagai alat analisis dalam pengambilan keputusan di bidang pendidikan
Statistics is a part of mathematics lessons in senior high school XII classes as well as mathematics specialization class XII. A comprehensive understanding of the basic concepts of statistics is needed to convey the material in class. The results of the
Jerhi Wahyu Fernanda, Noer Hidayah
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Inhomogeneous random graphs are commonly used models for complex networks where nodes have varying degrees of connectivity. Computing the degree distribution of such networks is a fundamental problem and has important applications in various fields.
Róbert Pethes, Levente Kovács
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Statistical analysis is crucial for research and the choice of analytical technique should take into account the specific distribution of data. Although the data obtained from health, educational, and social sciences research are often not normally ...
Roser Bono +5 more
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Double Generalized Beta-Binomial and Negative Binomial Regression Models
Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data.
EDILBERTO CEPEDA-CUERVO +1 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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On hypergeometric generalized negative binomial distribution
It is shown that the hypergeometric generalized negative binomial distribution has moments of all positive orders, is overdispersed, skewed to the right, and leptokurtic.
M. E. Ghitany +2 more
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