Results 11 to 20 of about 143,625 (245)

A Simple Wide Range Approximation of Symmetric Binomial Distribution [PDF]

Entropy
The paper gives a wide range, uniform, local approximation of symmetric binomial distribution. The result clearly shows how one has to modify the classical de Moivre–Laplace normal approximation in order to give an estimate at the tail as well as to ...
Tamás Szabados
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Psoriasis and tuberculosis binomial distribution?

Journal of Research in Medical Sciences, 2014
Anca Chiriac, Liliana Foia, Anca Edward Chiriac, Tudor Pinteala, Caius Solovan, Piotr Brzezinski   +5 more
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An Exact and an Approximation Method to Compute the Degree Distribution of Inhomogeneous Random Graph Using Poisson Binomial Distribution

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

Frontiers 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, Roser Bono, María J. Blanca, Jaume Arnau, Juana Gómez-Benito, Juana Gómez-Benito   +5 more
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Implementasi statistika sebagai alat analisis dalam pengambilan keputusan di bidang pendidikan

Jurnal 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
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Double Generalized Beta-Binomial and Negative Binomial Regression Models

Revista 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, MARíA VICTORIA CIFUENTES-AMADO   +1 more
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Comparisons of statistical distributions for cluster sizes in a developing pandemic

BMC Medical Research Methodology, 2022
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 the Accuracy of the Generalized Gamma Approximation to Generalized Negative Binomial Random Sums

Mathematics, 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
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A Modified Negative Binomial Distribution: Properties, Overdispersion and Underdispersion

Journal of Statistical Theory and Applications (JSTA), 2019
In this paper, we introduce a new and useful discrete distribution (modified negative binomial distribution) and its statistical and probabilistic properties are discussed.
Ghobad Barmalzan, Hadi Saboori, Sajad Kosari   +2 more
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A note on negative λ-binomial distribution

Advances 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
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