Results 1 to 10 of about 1,021,568 (282)

Choice probability generating functions [PDF]

open access: yesJournal of Choice Modelling, 2013
This paper establishes that every random utility discrete choice model (RUM) has a representation that can be characterized by a choice-probability generating function (CPGF) with specific properties, and that every function with these specific properties is consistent with a RUM.
Fosgerau, Mogens   +2 more
exaly   +7 more sources

Distribution Function, Probability Generating Function and Archimedean Generator [PDF]

open access: yesSymmetry, 2020
Archimedean copulas form a very wide subclass of symmetric copulas. Most of the popular copulas are members of the Archimedean copulas. These copulas are obtained using real functions known as Archimedean generators. In this paper, we observe that under certain conditions the cumulative distribution functions on (0, 1) and probability generating ...
Weaam Alhadlaq, Abdulhamid Alzaid
openaire   +3 more sources

Applying the Moment Generating Functions to the Study of Probability Distributions [PDF]

open access: yesInformatică economică, 2007
In this paper, we describe a tool to aid in proving theorems about random variables, called the moment generating function, which converts problems about probabilities and expectations into problems from calculus about function values and derivates.
Silvia SPATARU
doaj   +2 more sources

Efficiency, accuracy and robustness of probability generating function based parameter inference method for stochastic biochemical reactions [PDF]

open access: yesPLoS Computational Biology
Biochemical reactions are inherently stochastic, with their kinetics commonly described by chemical master equations (CMEs). However, the discrete nature of molecular states renders likelihood-based parameter inference from CMEs computationally intensive.
Shiyue Li   +5 more
doaj   +3 more sources

On Goodness-of-Fit Tests for the Neyman Type A Distribution

open access: yesRevstat Statistical Journal, 2023
The two-parameter Neyman type A distribution is quite useful for modeling count data, since it corresponds to a simple, flexible and overdispersed discrete distribution, which is also zero[1]inflated.
Apostolos Batsidis, Artur J. Lemonte
doaj   +1 more source

Two-Dimensional Moran Model: Final Altitude and Number of Resets

open access: yesMathematics, 2023
In this paper, we consider a two-dimension symmetric random walk with reset. We give, in the first part, some results about the distribution of every component. In the second part, we give some results about the final altitude Zn. Finally, we analyse the
Rafik Aguech, Mohamed Abdelkader
doaj   +1 more source

Generalized Probability Functions [PDF]

open access: yesAdvances in Mathematical Physics, 2009
From the integration of nonsymmetrical hyperboles, a one‐parameter generalization of the logarithmic function is obtained. Inverting this function, one obtains the generalized exponential function. Motivated by the mathematical curiosity, we show that these generalized functions are suitable to generalize some probability density functions (pdfs).
Alexandre Souto Martinez   +2 more
openaire   +3 more sources

The discrete weighted exponential distribution and its applications [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2018
We propose a new discrete distribution namely the discrete weighted exponential (dWE) distribution. It is discretization of weighted exponential distribution.
Panpharisa Khongthip   +2 more
doaj   +1 more source

Research on Age of Information for Discrete-Time System with Ber/Geo/1/1 [PDF]

open access: yesJisuanji gongcheng, 2023
Due to the dynamic changes in the environment of real-time monitoring systems,such as the Internet of Vehicles(IoV) and remote surgery,it is inevitable for such systems to focus on the freshness of received information.The infrastructure in the Internet ...
WEI Zhemin, JIA Xiangdong, CHEN Zhi, ZHAO Yuhua
doaj   +1 more source

On Finite Mixtures of Modified Intervened Poisson Distribution And Its Applications [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2014
Kumar and Shibu proposed a modified version of intervened Poisson distribution (IPD), namely the modified intervened Poisson distribution (MIPD) for tackling situations of further interventions useful for certain practical problems. Here we consider some
C. Satheesh Kumar, D.S. Shibu
doaj   +1 more source

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