A novel two-parameter discrete exponentiated exponential distribution with its neutrosophic extension: mathematical characterization and real-world count data modeling [PDF]
This paper proposes and studies the Discrete Exponentiated Exponential (DEE) distribution, a new two-parameter discrete lifetime model obtained by applying the survival discretization technique to the exponentiated exponential distribution.
Furqan Ahmed P., Sujatha V.
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Reliability evaluation of PV modules based on exponential dispersion process
The performance of photovoltaic (PV) modules gradually declines as the operational time continues due to the impacts of workload and environmental factors. This performance degradation process is dynamic and random.
Weian Yan, Weidong Liu, Wenqi Kong
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On Some Layer-Based Risk Measures with Applications to Exponential Dispersion Models [PDF]
Layer-based counterparts of a number of well-known risk measures have been proposed and studied. Namely, some motivations and elementary properties have been discussed, and the analytic tractability has been demonstrated by developing closed-form ...
Olga Furman, Edward Furman
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SUMMARY We study general properties of the class of exponential dispersion models, which is the multivariate generalization of the error distribution of Nelder and Wedderburn’s (1972) generalized linear models. Since any given moment generating function generates an exponential dispersion model, there exists a multitude of exponential ...
exaly +3 more sources
Linear stability and dispersive soliton propagation in nonlinear media subject to parabolic phase modulation [PDF]
This work investigates dispersive optical solitons governed by a perturbed cubic–quartic nonlinear Schrödinger equation with parabolic self-phase modulation, a model of direct relevance to high-capacity fiber-optic systems where simultaneous higher-order
M. Morgan +3 more
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Exponential dispersion models for overdispersed zero-inflated count data [PDF]
We consider three new classes of exponential dispersion models of discrete probability distributions which are defined by specifying their variance functions in their mean value parameterization. In a previous paper (Bar-Lev and Ridder, 2020a), we have developed the framework of these classes and proved that they have some desirable properties. Each of
Shaul K. Bar-Lev, Ad Ridder
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The paper comprehensively studies the natural exponential family and its associated exponential dispersion model generated by the Landau distribution. These families exhibit probabilistic and statistical properties and are suitable for modeling skewed ...
Shaul K. Bar-Lev
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Effects of Physical Properties and Environmental Conditions on the Natural Dispersion of Oil
The natural dispersion of oil depends on the oil types, wave-mixing energy, and the temperature and salinity of water. Laboratory experiments were conducted to investigate the effects of these factors on oil dispersion.
Chenfang Wang +5 more
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A Review of CO2 Plume Dispersion Modeling for Application to Offshore Carbon Capture and Storage
The exponential increase in greenhouse gas emissions necessitates urgent measures to mitigate climate change impacts. Carbon capture and storage (CCS) has emerged as a promising solution, capturing CO2 from industrial processes and storing it underground.
Yong-Hoon Kim, Young-Gyu Park
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Tail Conditional Expectations for Exponential Dispersion Models [PDF]
There is a growing interest in the use of the tail conditional expectation as a measure of risk. For an institution faced with a random loss, the tail conditional expectation represents the conditional average amount of loss that can be incurred in a fixed period, given that the loss exceeds a specified value.
Landsman, Zinoviy, Valdez, Emiliano A.
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