Results 31 to 40 of about 267,916 (279)

The Length-Biased Versus Random Sampling for the Binomial and Poisson Events [PDF]

open access: yes, 2013
The equivalence between the length-biased and the random sampling on a non-negative, discrete random variable is established.
Naik-Nimbalkar, Uttara V.   +1 more
core   +2 more sources

POISSON APPROXIMATION FOR RANDOM SUMS OF GEOMETRIC RANDOM VARIABLES [PDF]

open access: yesInternational Journal of Pure and Apllied Mathematics, 2013
In this paper, we determine bounds with different Poisson mean for the total variation distance between the distribution of random sums of in- dependent geometric random variables and an appropriate Poisson distribution. Two examples have been given to illustrate the results obtained.
openaire   +1 more source

Poisson approximation for independent geometric random variables [PDF]

open access: yesInternational Mathematical Forum, 2007
The Stein-Chen method is used to derive two formulas of uniform and non-uniform bounds on Poisson approximation for a sum of n independent geometric random variables. Application of these formulas is illustrated with the Poisson approximation to the negative binomial distribution.
K. Teerapabolarn, P. Wongkasem
openaire   +1 more source

In-Scene Calibration of Poisson Noise Parameters for Phase Image Recovery

open access: yesIEEE Open Journal of Signal Processing
In sensor metrology, noise parameters governing the stochastic nature of photon detectors play critical role in characterizing the aleatoric uncertainty of computational imaging systems such as indirect time-of-flight cameras, structured light imaging ...
Achour Idoughi   +5 more
doaj   +1 more source

A study on black-body radiation: classical and binary photons [PDF]

open access: yes, 2006
The present study gives a detailed analysis of the black-body radiation based on classical random variables. It is shown that the energy of a mode of a chaotic radiation field (Gauss variable) can be uniquely decomposed into a sum of a discrete variable (
Varro, Sandor
core   +2 more sources

On the degenerate negative λ-binomial and Poisson random variables from degenerate special polynomials

open access: yesMathematical and Computer Modelling of Dynamical Systems
In this paper, we investigate the theory and applications of negative λ-binomial random variable with parameter [Formula: see text] and Poisson random variable with parameter [Formula: see text].
Jongkyum Kwon   +2 more
doaj   +1 more source

Invariance principle for Mott variable range hopping and other walks on point processes [PDF]

open access: yes, 2010
We consider a random walk on a homogeneous Poisson point process with energy marks. The jump rates decay exponentially in the A-power of the jump length and depend on the energy marks via a Boltzmann--like factor.
Caputo, P., Faggionato, A., Prescott, T.
core   +3 more sources

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin   +11 more
wiley   +1 more source

On the rate of convergence of Lp norms in the CLT for Poisson random sum

open access: yesLietuvos Matematikos Rinkinys, 2009
In the paper, we present the upper bound of Lp norm \deltaλ,p of the order λ-δ/2 for all 1 \leq  p \leq ∞,  in the central limit theorem for a standardized random sum (SNλ - ESNλ)/DSNλ , where SNλ = X1 + ··· + XNλ is the random sum of independent ...
Jonas Kazys Sunklodas
doaj   +1 more source

Simulation of non-stationary event flow with a nested stationary component

open access: yesDiscrete and Continuous Models and Applied Computational Science, 2020
A method for constructing an ensemble of time series trajectories with a nonstationary flow of events and a non-stationary empirical distribution of the values of the observed random variable is described.
Ruslan V. Pleshakov
doaj   +1 more source

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