Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter [PDF]
Sensors, 2020 The existence of clutter, unknown measurement sources, unknown number of targets, and undetected probability are problems for multi-extended target tracking, to address these problems; this paper proposes a gamma-Gaussian-inverse Wishart (GGIW ...
Haocui Du, Weixin Xie
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Tomographic Description of a Quantum Wave Packet in an Accelerated Frame
Entropy, 2021 The tomography of a single quantum particle (i.e., a quantum wave packet) in an accelerated frame is studied. We write the Schrödinger equation in a moving reference frame in which acceleration is uniform in space and an arbitrary function of time. Then,
Sergio De Nicola +4 more
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Marginal hazard distribution in network structures
Lietuvos Matematikos Rinkinys, 2023 The subject of this work is the analysis of hazard distribution in the network systems. In the age when transport flows in the railway and road systems, information flows in the internet channels, etc.
Juozas Augutis +2 more
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Mathematics, 2023 In this article, we derive a closed-form expression for computing the probabilities of p-dimensional rectangles by means of a multivariate skew-normal distribution.
Raúl Alejandro Morán-Vásquez +2 more
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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
Journal of Marine Science and Engineering, 2022 The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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Some Statistical Aspects of the Truncated Multivariate Skew-t Distribution
Mathematics, 2022 The multivariate skew-t distribution plays an important role in statistics since it combines skewness with heavy tails, a very common feature in real-world data.
Raúl Alejandro Morán-Vásquez +2 more
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Modeling Insurance Claim Distribution via Mixture Distribution and Copula [PDF]
تحقیقات مالی, 2017 This paper analyses whether joint probability distribution function of losses due to different exposures covered under the same policy could be modeled in an appropriate manner via mixture distribution proposed and copula concept.
Saeed Bajalan +2 more
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Machine Vision Based Production Condition Classification and Recognition for Mineral Flotation Process Monitoring [PDF]
International Journal of Computational Intelligence Systems, 2013 A novel froth image analysis based production condition recognition method is presented to identify the froth phases under various production conditions.
Jinping Liu +4 more
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Spatial Copula Model for Imputing Traffic Flow Data from Remote Microwave Sensors
Sensors, 2017 Issues of missing data have become increasingly serious with the rapid increase in usage of traffic sensors. Analyses of the Beijing ring expressway have showed that up to 50% of microwave sensors pose missing values.
Xiaolei Ma, Sen Luan, Bowen Du, Bin Yu
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Selection of the Best Copula Function in Bivariate Analysis of Water Resources Components (Case study: Siminehrood River Basin, Iran) [PDF]
Water Harvesting ResearchThe copula function is a joint distribution of correlated random variables that are defined based on univariate marginal distributions. The aim of the present study is to select the best copula function to create joint probability distributions between ...
Fahimeh Sharifan +3 more
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