Results 21 to 30 of about 39,418 (264)

NEGATIVE BINOMIAL REGRESSION AND GENERALIZED POISSON REGRESSION MODELS ON THE NUMBER OF TRAFFIC ACCIDENTS IN CENTRAL JAVA

open access: yesBarekeng, 2022
Traffic accidents that always increase along with the increasing population growth and the number of vehicles impact the national economy. The number of traffic accidents is a count data that a Poisson distribution can approximate. The Poisson regression
M Al Haris, Prizka Rismawati Arum
doaj   +1 more source

Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument

open access: yesEntropy, 2023
A new model of inertial neural networks with a generalized piecewise constant argument as well as unpredictable inputs is proposed. The model is inspired by unpredictable perturbations, which allow to study the distribution of chaotic signals in neural ...
Marat Akhmet   +2 more
doaj   +1 more source

Modified intervened Poisson distribution

open access: yesStatistica, 2013
In this paper, we develop modified intervened Poisson distribution (MIPD) and consider some of its properties. Some real life data sets are given here to illustrate MIPD is the best fit among intervened generalized Poisson distribution (IGPD), intervened
C. Satheesh Kumar, D S. Shibu
doaj   +1 more source

STOCHASTIC PATTERN OF TRAFFIC ACCIDENTS IN BANDUNG CITY

open access: yesIATSS Research, 2002
This paper deals with a study to gain a better understanding about traffic accident phenomena in Bandung City, the capital of West Java. The principal concern, which is very important for traffic management, is on the following traffic accident ...
Maman A. DJAUHARI
doaj   +1 more source

Parameter Estimation and Hypothesis Testing of Geographically Weighted Multivariate Generalized Poisson Regression

open access: yesMathematics, 2020
We introduce a new multivariate regression model based on the generalized Poisson distribution, which we called geographically-weighted multivariate generalized Poisson regression (GWMGPR) model, and we present a maximum likelihood step-by-step procedure
Sarni Maniar Berliana   +3 more
doaj   +1 more source

Modeling the number of component failures: A Poison-geometric distribution

open access: yesScientific African, 2022
A two new parameter discrete distribution which generalizes the Poisson distribution is introduced. Some of the properties of the new distribution including the non-central moments, the probability generating function and the hazard rate function are ...
Elebe Emmanuel Nwezza   +2 more
doaj   +1 more source

Prediction Interval for Compound Conway–Maxwell–Poisson Regression Model with Application to Vehicle Insurance Claim Data

open access: yesMathematical and Computational Applications, 2023
Regression models in which the response variable has a compound distribution have applications in actuarial science. For example, the aggregate claim amount in a vehicle insurance portfolio can be modeled using a compound Poisson distribution.
Jahnavi Merupula   +2 more
doaj   +1 more source

Generalization of the fractional poisson distribution [PDF]

open access: yesFractional Calculus and Applied Analysis, 2016
A generalization of the Poisson distribution based on the generalized Mittag-Leffler function $E_{α, β}(λ)$ is proposed and the raw moments are calculated algebraically in terms of Bell polynomials. It is demonstrated, that the proposed distribution function contains the standard fractional Poisson distribution as a subset. A possible interpretation of
openaire   +3 more sources

A New Generalized Poisson-Lindley Distribution: Applications and Properties

open access: yesAustrian Journal of Statistics, 2015
A new generalized Poisson Lindley distribution is obtained by compounding Poisson distribution with two parameter generalised Lindley distribution. The new distribution is shown to be unimodal and over dispersed.
Deepesh Bhati, DVS Sastry, PZ Maha Qadri
doaj   +1 more source

The zero-truncated discrete transmuted generalized inverse Weibull distribution and its applications [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2021
In this article, a new distribution for count data analysis is introduced. Firstly, the Discrete Transmuted Generalized Inverse Weibull distribution (DTGIW) is constructed. Consequently, some useful sub-models are discussed.
Atchanut Rattanalertnusorn   +1 more
doaj   +1 more source

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