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On degenerate Poisson random variable
In this paper, we delve into the intricate properties of degenerate Poisson random variables, exploring their moment generating function, the law of large numbers, and the central limit theorem.
Mikyoung Ha, Suhyun Lee, Youngsoo Seol
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Degenerate binomial and Poisson random variables associated with degenerate Lah-Bell polynomials
The aim of this paper is to study the Poisson random variables in relation to the Lah-Bell polynomials and the degenerate binomial and degenerate Poisson random variables in connection with the degenerate Lah-Bell polynomials. Among other things, we show
Kim Taekyun +3 more
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Pattern Avoidance for Random Permutations [PDF]
Using techniques from Poisson approximation, we prove explicit error bounds on the number of permutations that avoid any pattern. Most generally, we bound the total variation distance between the joint distribution of pattern occurrences and a ...
Harry Crane, Stephen DeSalvo
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A remark on the fluctuation behavior of I.I.D. Poisson random variables
Abstract An iterated logarithm law is obtained for the almost certain fluctuation behavior of i.i.d. Poisson random variables.
Andrew Rosalsky
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Nonuniform estimates in the approximation by the Poisson law
Poisson approximation for the sum of independent random variables is investigates in this paper.
Kazimieras Padvelskis
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Degenerate Zero-Truncated Poisson Random Variables [PDF]
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Kim, T., Kim, D. S.
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Fully degenerate Bell polynomials associated with degenerate Poisson random variables
Many mathematicians have studied degenerate versions of quite a few special polynomials and numbers since Carlitz’s work (Utilitas Math. 15 (1979), 51–88). Recently, Kim et al.
Kim Hye Kyung
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Upper-bound estimates for weighted sums satisfying Cramer’s condition
Let S = ω1S1 + ω2S2 + ⋯ + ωNSN. Here Sj is the sum of identically distributed random variables and ωj > 0 denotes weight. We consider the case, when Sj is the sum of independent random variables satisfying Cramer’s condition.
Vydas Čekanavičius, Aistė Elijio
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Dependence on a collection of Poisson random variables [PDF]
We propose two novel ways of introducing dependence among Poisson counts through the use of latent variables in a three levels hierarchical model. Marginal distributions of the random variables of interest are Poisson with strict stationarity as special case.
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A Note on the Right Truncated Weibull Distribution and the Minimum of Power Function Distributions
In this note, the right truncated Weibull distribution is derived as the distribution of the minimum of a random number of independent and identically distributed random variables.
Pedro Jodrá
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