Results 11 to 20 of about 13,727 (246)

Mathematical Properties of the Binomial-Poisson Distribution

open access: yesJournal of Applied Sciences and Environmental Management
This study conducts a thorough analytical exploration of the Binomial-Poisson distribution, a compound probability model where the number of Binomial trials follows a Poisson distribution. Through application of the compound distribution methodology and
A. A. Ayenigba   +3 more
doaj   +6 more sources

Modelling overdispersion with the normalized tempered stable distribution [PDF]

open access: yes, 2010
This paper discusses a multivariate distribution which generalizes the Dirichlet distribution and demonstrates its usefulness for modelling overdispersion in count data.
Griffin, Jim E.   +3 more
core   +1 more source

The Meaning of Binomial Distribution [PDF]

open access: yesNature, 1960
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.
openaire   +2 more sources

Implementasi statistika sebagai alat analisis dalam pengambilan keputusan di bidang pendidikan

open access: yesJurnal Inovasi Hasil Pengabdian Masyarakat, 2021
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
doaj   +1 more source

An Exact and an Approximation Method to Compute the Degree Distribution of Inhomogeneous Random Graph Using Poisson Binomial Distribution

open access: yesMathematics, 2023
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
doaj   +1 more source

A consistent estimator for the binomial distribution in the presence of “incidental parameters”: an application to patent data [PDF]

open access: yes, 2003
In this paper a consistent estimator for the Binomial distribution in the presence of incidental parameters, or fixed effects, when the underlying probability is a logistic function is derived.
Machado, Matilde P.
core   +1 more source

Non-normal Distributions Commonly Used in Health, Education, and Social Sciences: A Systematic Review

open access: yesFrontiers in Psychology, 2017
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
doaj   +1 more source

Double Generalized Beta-Binomial and Negative Binomial Regression Models

open access: yesRevista Colombiana de Estadística, 2017
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
doaj   +1 more source

On the Accuracy of the Generalized Gamma Approximation to Generalized Negative Binomial Random Sums

open access: yesMathematics, 2021
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
doaj   +1 more source

A note on negative λ-binomial distribution

open access: yesAdvances in Difference Equations, 2020
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
doaj   +1 more source

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