Results 41 to 50 of about 170,115 (204)
Weighted negative binomial-Poisson Lindley with application to genetic data
Background & Aim: Mixed Poisson and mixed negative binomial distributions have been considered as alternatives for fitting count data with over-dispersion.
Hossein Zamani +2 more
doaj
WEIBULL-POISSON DISTRIBUTION AND THEIR APPLICATION TO SYSTEMATIC PARALLEL RISK
The Weibull-Poisson distribution represents a continuous distribution type applicable to various forms of hazard, including monotone up, monotone down, and upside-down bathtub shapes that ascend.
Yekti Widyaningsih, Rugun Ivana
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Este artículo explora la modelación del número de autores que colaboran en la publicación de un artículo. Con ese fin se analizaron la distribución geométrica, la distribución Poisson truncada, la distribución Poisson lognormal y la distribución Gauss ...
Rubén Urbizagástegui Alvarado +1 more
doaj
This article introduces a new operator defined by the convolution of the Poisson distribution series and the generalized Mittag-Leffler function. Applying this operator, we study a novel subclass of analytic functions using the technique of fuzzy ...
Bushra Kanwal +3 more
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Discriminant analysis involving count data [PDF]
A situation giving rise to a violation of the normality assumption in discriminant analysis is that which involves count observations. For a two-variable case involving count observations, this paper presents a new discriminant analysis approach when ...
George Chinanu Mbaeyi +1 more
doaj
RESCUE 1122: APPLICATION OF POISSON DISTRIBUTION
: OBJECTIVE: The basic idea of the study toevaluate the probabilities of various emergencies calls that could be emerging in the enhancement of operational network and adequate polices to tackle the complex emergencies situations, so that the maximum ...
Muhammad Imran +2 more
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Congestion probabilities in CDMA-based networks supporting batched Poisson traffic
We propose a new multirate teletraffic loss model for the calculation of time and call\ud congestion probabilities in CDMA-based networks that accommodate calls of different serviceclasses\ud whose arrival follows a batched Poisson process. The latter is
Moscholios, Ioannis +6 more
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Poisson distribution is one of discrete distribution that is often used in modeling of rare events. The data obtained in form of counts with non-negative integers. One of analysis that is used in modeling count data is Poisson regression.
Lili Puspita Rahayu +2 more
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Stochastic model for the process of Wine Award: Visualization and quantification [PDF]
Sensory analysis is an important part of the process of evaluation of the quality of wines. Nowadays, one of the most used methods for describing this evaluation is the concept of awards.
González José A. +2 more
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THE DISPLACED POISSON DISTRIBUTION
SummaryConsideration of the number of events in a Poisson process in excess of a threshold value r, when it is assumed that at least r events do occur, leads to the Displaced Poisson Distribution. The recurrence relationship between successive probabilities is a simple generalization of that of the Poisson distribution.
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