Results 11 to 20 of about 402,527 (270)

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   +4 more sources

A non-uniform bound on binomial approximation to the beta binomial cumulative distribution function [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2019
This paper uses Stein’s method and the characterization of beta binomial random variable to determine a non-uniform bound for the distance between the beta binomial cumulative distribution function with parameters n  N, 0  and   0 and the ...
Kanint Teerapabolarn, Khunakorn Sae-Jeng
doaj   +1 more source

An Exponential-Negative Binomial Distribution

open access: yesRevstat Statistical Journal, 2013
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
doaj   +1 more source

Spatial distribution in marine invertebrates in rocky shore of Araucania Region (38° S, Chile) [PDF]

open access: yesBrazilian Journal of Biology, 2019
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
doaj   +1 more source

On the forward-backward correlations in a two-stage scenario [PDF]

open access: yes, 2000
It is demonstrated that in a two-stage scenario with elementary Poissonian emitters of particles (colour strings) arbitrarily distributed in their number and average multiplicities, the forward- backward correlations are completely determined by the ...
Alexopulos   +13 more
core   +2 more sources

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

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

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

Analysis of Cumulant Moments in High Energy Hadron-Hadron Collisions by Truncated Multiplicity Distributions [PDF]

open access: yes, 1996
Oscillatory behavior of cumulant moments obtained from the experimental data in $pp$ collisions and $\bar{p}p$ collisions are analyzed by the modified negative binomial distribution (MNBD) and the negative binomial distribution (NBD).
A. Breakstone   +16 more
core   +2 more sources

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

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