Results 11 to 20 of about 146,847 (261)
Modified intervened Poisson distribution
In this paper, we develop modified intervened Poisson distribution (MIPD) and consider some of its properties. Some real life data sets are given here to illustrate MIPD is the best fit among intervened generalized Poisson distribution (IGPD), intervened
C. Satheesh Kumar, D S. Shibu
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The process of item nonresponse in a questionnaire survey and its individual differences
The relationship between the occurrence of item nonresponse and individual characteristics in questionnaire surveys can cause bias in parameter estimation.
Daisuke Shimada, Kentaro Katahira
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An alternative hyper-Poisson distribution
An alternative form of hyper-Poisson distribution is introduced through its probability mass function and studies some of its important aspects such as mean, variance, expressions for its raw moments, factorial moments, probability generating function ...
C. Satheesh Kumar, B. Unnikrishnan Nair
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Learning poisson binomial distributions [PDF]
Revised full version. Improved sample complexity bound of O~(1/eps^2)
Constantinos Daskalakis +2 more
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DISTRIBUSI POISSON DAN DISTRIBUSI EKSPONENSIAL DALAM PROSES STOKASTIK
In the queueing system, the processes usually come from a Poisson process. In this system should be obtained an arrival distribution and a service distribution.
Sugito Sugito, Moch Abdul Mukid
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In this paper, Bayes estimators of Poisson distribution have been derived by using two loss functions: the squared error loss function and the proposed exponential loss function in this study, based on different priors classified as the two different ...
Jinan A. Naser Al-obedy
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On the generalized Poisson distribution [PDF]
We use Euler's difference lemma to prove that, for θ > 0 and 0 ≤λ < 1, the function Pn defined on the non‐negative integers by P n (θ, λ) = [θ(θ + nλ)n−1/n!]e−nλ−θdefines a probability distribution, known as the Generalized Poisson Distribution.
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On Zero Truncated Poisson- Muth Distribution [PDF]
This paper introduces a novel statistical distribution, the Zero-Truncated Poisson Muth (ZTPM) Distribution, which is particularly useful for analyzing datasets that exclude zero values.
nader fathi +4 more
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Class of Analytic Function defined by Neutrosophic Poisson Distribution [PDF]
This article investigates the interplay between univalent functions, the Salagean operator, and Poisson distribution within the framework of neutrosophic distribution and neutrosophic Poisson distribution.
Olushola Adeyemo +4 more
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ObjectiveTo compare differences among the results of utilizing Poisson distribution, quasi-Poisson distribution, and negative binomial distribution in the generalized additive model (GAM) analysis on the association of ambient air ozone (O3) with ...
Zheng-rong GU, Xin-yu WANG, Hui XU
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