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  1. 5561

    Properties of the coefficient estimators for the linear regression model with heteroskedastic error term by Alfredas Račkauskas, Danas Zuokas

    Published 2023-09-01
    “…For the heteroskedasticity of the changed segment type, using Monte-Carlo method, we investigate empirical properties of the proposed and ordinary least squares (OLS) estimators. …”
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    Article
  2. 5562

    Postulat de la monnaie et théorie de la valeur chez Marx by Nicolas Piluso

    Published 2014-06-01
    “…The paper attempts to reevaluate the criticism of Carlo Benetti about the marxian theory of money. …”
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    Article
  3. 5563

    Different Approaches to Estimation of the Gompertz Distribution under the Progressive Type-II Censoring Scheme by Kyeongjun Lee, Jung-In Seo

    Published 2020-01-01
    “…For evaluation and comparison, the Monte Carlo simulations are conducted, and real data are analyzed.…”
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    Article
  4. 5564

    Performance analysis of weighted non-coherent receiver for UWB-PPM signal in multipath channels by WU Jian-jun, LIANG Qing-lin, XIANG Hai-ge

    Published 2006-01-01
    “…The BER performance expressions and weighting coefficients of the weighted non-coherent receiver for the UWB-PPM signal were analytically derived.Subsequently,the analytical results were validated via Monte-Carlo simula-tion,and the impacts of the sub-interval width and the timing error were also numerical analyzed.It is illustrated that the weighted receiver is at least 3dB superior to the conventional non-coherent receiver,and is robust to the variations of sub-integration width and the timing error.…”
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    Article
  5. 5565

    Sign Problem in Tensor-Network Contraction by Jielun Chen, Jiaqing Jiang, Dominik Hangleiter, Norbert Schuch

    Published 2025-01-01
    “…First, we consider contraction via Monte Carlo sampling and find that the transition from hard to easy occurs when the tensor entries become predominantly positive; this can be understood as a tensor-network manifestation of the well-known negative-sign problem in quantum Monte Carlo. …”
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    Article
  6. 5566

    The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia by Majdah Mohammed Badr, Ghaida Sobahi

    Published 2022-01-01
    “…The maximum likelihood (ML) estimator (MLE) approach is used to estimate the parameters. A Monte Carlo simulation is done to examine the behavior of the estimators. …”
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    Article
  7. 5567

    Research and Application of the Solving Method for Robotic Workspace by He Jiawei, Ping Xueliang, Li Zhaoyang, Jiang Yi

    Published 2015-01-01
    “…For the solution of the robotic workspace,on the basis of existing research methods,a new solution method which combines the advantage of Monte- Carlo method with Matlab simulation modeling capability is proposed. …”
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    Article
  8. 5568

    On the Melting and Disordering of Thin Epitaxial Films by A. Patrykiejew, S. Sokolowski

    Published 2007-09-01
    “…The disordering of thin films formed on the (100) plane of the face centred cubic (fcc) crystal was studied by the Monte Carlo simulation method. It was shown that the adsorbed films, which order into the (1 × 1) structure in each layer at low temperatures, disorder in a layer-by-layer mode, at least for films with thicknesses of up to 12 layers. …”
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  9. 5569

    Power Laws in Adsorption and the Characterization of Heterogeneous Substrates by F. Bulnes, A.J. Ramirez-Pastor, G. Zgrablich

    Published 2001-04-01
    “…The adsorption of particles with repulsive nearest-neighbour interactions was studied through Monte Carlo simulation on bivariate surfaces characterized by patches of weak and strong adsorbing sites of size l. …”
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  10. 5570

    Stochastic dynamics and survival analysis of a cell population model with random perturbations by Cristina Anton, Alan Yong

    Published 2018-09-01
    “…The analytical results are confirmed by Monte Carlo simulations.…”
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    Article
  11. 5571
  12. 5572
  13. 5573
  14. 5574
  15. 5575

    Resolution dependence of vessel size index across various brain regions by DongKyu Lee, Yelim Gong, Abel Worku Tessema, SoHyun Han, Hyung Joon Cho

    Published 2025-01-01
    “…This study systematically investigates the spatial resolution dependence of VSI using Monte Carlo simulations and in vivo rat brain MRI experiments. …”
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    Article
  16. 5576

    POMA-C: A Framework for Solving the Problem of Precise Anesthesia Control Under Incomplete Observation Environment in Low-Income Areas by Yide Yu, Huijie Li, Dennis Wong, Anmin Hu, Jian Huo, Yan Ma, Yue Liu

    Published 2025-01-01
    “…The framework employs the POMCPOW (Partially Observable Monte Carlo Planning with Observation Weighting) algorithm, which integrates Monte Carlo Tree Search (MCTS) and particle filtering to estimate the patient’s true physiological state and guide optimal anesthetic decisions. …”
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    Article
  17. 5577

    Promoting conservation culture through exchange in training on traditional and contemporary lining methods by Maria Aguiar, Nico Broers, Olivier Verheyden, Antonio Iaccarino Idelson, Paolo Roma, Ana Cudell

    Published 2019-10-01
    “…Via an Erasmus Programme, traditional and contemporary lining techniques used in Belgium, Italy and Portugal were compared, bringing together teachers and students from École Supérieure des Arts Saint-Luc de Liège, the Universitá degli Studi Urbino “Carlo Bo” from Urbino and the Escola das Artes, Universidade Católica Portuguesa.…”
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  18. 5578

    Simulation of Proton Beam Effects in Thin Insulating Films by Ljubinko Timotijevic, Irfan Fetahovic, Djordje Lazarevic, Milos Vujisic

    Published 2013-01-01
    “…The passage of proton beams through ultrathin layers of these materials has been modeled by Monte Carlo simulations of particle transport. Parameters that have been varied in simulations include proton energy and insulating layer thickness. …”
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  19. 5579

    Stochastic Behaviour of Mistuned Stator Vane Sectors: An Industrial Application by A.C. Sall, F. Thouverez, L. Blanc, P. Jean

    Published 2012-01-01
    “…Polynomial chaos based results are in good agreement with reference Monte Carlo simulations.…”
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    Article
  20. 5580

    Confidence Intervals for the Coefficient of Variation in a Normal Distribution with a Known Population Mean by Wararit Panichkitkosolkul

    Published 2013-01-01
    “…The other proposed confidence intervals are the shortest-length confidence interval and the equal-tailed confidence interval. A Monte Carlo simulation study was conducted to compare the performance of the proposed confidence intervals with the existing confidence intervals. …”
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    Article