NON-HOMOGENEOUS POISSON PROCESS MODEL FOR GENETIC CROSSOVER INTERFERENCE. [PDF]
Commun Stat Theory Methods, 2014 The genetic crossover interference is usually modeled with a stationary renewal process to construct the genetic map. We propose two non-homogeneous, also dependent, Poisson process models applied to the known physical map. The crossover process is assumed to start from an origin and to occur sequentially along the chromosome.
Leu SY, Sen PK.
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Percolation on a non-homogeneous Poisson blob process [PDF]
Discrete Mathematics & Theoretical Computer Science, 2003 We present the main results of a study for the existence of vacant and occupied unbounded connected components in a non-homogeneous Poisson blob process. The method used in the proofs is a multi-scale percolation comparison.
Fabio P. Machado
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IET Software, 2022 Software reliability modelling is the mathematical technique used to evaluate the reliability of a software system. The non‐homogeneous Poisson process is a prominent approach in this field.
Hung‐Cuong Nguyen, Quyet‐Thang Huynh
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Statistical Analysis of Non-Homogeneous Poisson Process Described as Weibull Process with an Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2007 This research deals with the non-homogenous Poisson process described as Weibull process. In order to estimate the rate of occurrence, maximum likelihood and least square methods have been used, in addition to the graphical method which investigates the ...
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Use of non-homogeneous Poisson process for the analysis of new cases, deaths, and recoveries of COVID-19 patients: A case study of Kuwait. [PDF]
J King Saud Univ Sci, 2021 Al-Dousari A, Ellahi A, Hussain I.
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A non-homogeneous Poisson process predictive model for automobile warranty claims [PDF]
Reliability Engineering and System Safety, 2007 Abstract Automobile warranties and thus lifetimes are characterized in the two-dimensional space of time and mileage. This paper presents a non-homogenous Poisson process (NHPP) predictive model for automobile warranty claims consisting of two components: a population size function and a failure or warranty claim rate.
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The nhppp package for simulating non-homogeneous Poisson point processes in R.
PLoS ONEWe introduce the nhppp package for simulating events from one dimensional non-homogeneous Poisson point processes (NHPPPs) in R fast and with a small memory footprint.
Thomas A Trikalinos, Yuliia Sereda
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Multitype branching process with non-homogeneous Poisson and contagious Poisson immigration [PDF]
Journal of Applied Probability, 2021 AbstractIn a multitype branching process, it is assumed that immigrants arrive according to a non-homogeneous Poisson or a contagious Poisson process (both processes are formulated as a non-homogeneous birth process with an appropriate choice of transition intensities). We show that the normalized numbers of objects of the various types alive at time t
Landy Rabehasaina, Jae-Kyung Woo
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An Imperfect Debugging Littlewood Non-homogeneous Poisson Process Model [PDF]
The Egyptian Statistical Journal, 2006 The large literature on software reliability assessment and prediction essentially assumes that once a failure occurs the fault causing the failure is immediately removed with certainty. i.e., perfect debugging. This assumption may not be realistic.
Abdalla Abdel-Ghaly, May Barghout
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A New Fractional Poisson Process Governed by a Recursive Fractional Differential Equation
Fractal and Fractional, 2022 This paper proposes a new fractional Poisson process through a recursive fractional differential governing equation. Unlike the homogeneous Poison process, the Caputo derivative on the probability distribution of k jumps with respect to time is linked to
Zhehao Zhang
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