Results 41 to 50 of about 288,133 (184)
Effects of the Detection Efficiency on Multiplicity Distributions
, 2013 In this paper we investigate how a finite detection efficiency affects three popular multiplicity distributions, namely the Poisson, the Binomial and the Negative Binomial distributions.
Tang, A., Wang, G.
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Disoriented Chiral Condensates, Pion Probability Distributions and Parallels with Disordered System [PDF]
, 1999 A general expression is discussed for pion probability distributions coming from relativistic heavy ion collisions. The general expression contains as limits: 1) The disoriented chiral condensate (DCC), 2) the negative binomial distribution and Pearson ...
A. A. Anselm +29 more
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On intervened negative binomial distribution and some of its properties
Statistica, 2013 Here we develop a new class of discrete distribution namely intervened negative binomial distribution and derive its probability generating function, mean, variance and an expression for its factorial moments.
C. Satheesh Kumar, S. Sreejakumari
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The Marshall-Olkin Weibull Truncated Negative Binomial Distribution and its Applications
Statistica, 2019 The Weibull distribution is one of the widely known lifetime distribution that has been extensively used for modelling data in reliability and survival analysis.
Bindu Krishnan, Dais George
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PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF
Media Statistika, 2011 Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data.
Rio Tongaril Simarmata, Dwi Ispriyanti
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On Some Stationary INAR(1) Processes with Compound Poisson Distributions
Revstat Statistical Journal, 2023 Aly and Bouzar ([2]) used the backward approach in presence of the binomial thinning operator to construct underdispersed stationary first-order autoregressive integer valued (INAR (1)) processes.
Emad-Eldin A. A. Aly, Nadjib Bouzar
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A generalization of the negative binomial distribution
Journal of Biostatistics and Epidemiology, 2017 Background & Aim: Consider a sequence of independent Bernoulli trials with p denoting the probability of success at each trial. With this definition, the probability that the nth success proceed by r failures follows the negative binomial distribution ...
Maryam Nazemipour, Mahmood Mahmoudi
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Open Journal of Statistics, 2012 The purpose of this study is to compare a negative binomial distribution with a negative binomial—Lindley by using stochastic orders. We characterize the comparisons in usual stochastic order, likelihood ratio order, convex order, expectation order and uniformly more variable order based on theorem and some numerical example of comparisons between ...
Chookait Pudprommarat, Winai Bodhisuwan
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On approximation of Markov binomial distributions
, 2009 For a Markov chain $\mathbf{X}=\{X_i,i=1,2,...,n\}$ with the state space $\{0,1\}$, the random variable $S:=\sum_{i=1}^nX_i$ is said to follow a Markov binomial distribution.
Xia, Aihua, Zhang, Mei
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A non-uniform bound on Poisson approximation for a sum of negative binomial random variables [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2017 This paper uses the Stein–Chen method to determine a non-uniform bound on the point metric between the distribution of a sum of independent negative binomial random variables and a Poisson distribution with mean 1 n i i i r q , where r i
Kanint Teerapabolarn
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