Showing 61 - 80 results of 1,307 for search 'parametric application', query time: 0.10s Refine Results
  1. 61

    Use of Non-Parametric Approaches on Normality of Hydrologic Variables by Kadri Yürekli, Müberra Erdoğan, Mehmet Murat Cömert

    Published 2018-08-01
    “…Parametric approaches in statistical analysis assume that any given data are normally distributed. …”
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    Article
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    Large tolerance for incidence angle in Terahertz parametric detection by Hyuga Inoue, Sota Mine, Kodo Kawase, Kosuke Murate

    Published 2025-07-01
    “…The large incidence-angle tolerance significantly simplifies the optical setup and opens up possibilities for a wider range of application measurements.…”
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    Article
  4. 64

    Collision Avoidance for Parametric Railway Lines by Supervisor Control by Fotis N. Koumboulis, Dimitrios G. Fragkoulis, George E. Panagiotakis, Konstantinos A. Ioannou, Alexandros Nikolopoulos

    Published 2025-01-01
    “…In the present paper, two collision avoidance supervisor schemes are developed for a single line and one-way railway system, with a parametric number of stations and a parametric number of trains. …”
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  5. 65

    Parametric Digital Twin of Autonomous Electric Vehicle Transmission by Anton Rassõlkin, Viktor Rjabtšikov, Vladimir Kuts, Karolina Kudelina, Toomas Vaimann, Ants Kallaste, Andriy Partyshev

    Published 2021-06-01
    “…Variable applications and methodologies are used in the Digital Twin technology. …”
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    The Gradual Process of Change: Integrating Shape Grammars in Parametric Tools by Tomaž Berčič

    Published 2024-12-01
    “…This article illustrates the integration of shape grammar with contemporary parametric tools, explicitly avoiding the reliance on specialised custom software to facilitate its application in routine practices. …”
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    Article
  13. 73

    Choice of Parametric and Nonparametric Statistical Procedures in Clinical and Biomedical Research by Okoroiwu, U.H.* and Akwiwu C.E.

    Published 2019-06-01
    “…Lack of basic statistical knowledge as well as inappropriate statistical tool choice hinders understanding of biomedical research as well as its application. This research detailed basics of parametric and non-parametric statistical procedures. …”
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    Article
  14. 74

    Diverse Copulas through Durante's Method. Exploring Parametric Functions by Christophe Chesneau

    Published 2024-01-01
    “…The proofs provided rely on suitable differentiation, comprehensive factorizations, and judicious application of mathematical inequalities. In the vast repertoire of copulas derived from this methodology, we present three distinct series of eight new copulas, supported by a graphical analysis of their respective densities. …”
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    Article
  15. 75

    Numerical Study of Forced Vibration Suppression by Parametric Anti-Resonance by Ludĕk PEŠEK, Petr ŠULC, Ladislav PŮST

    Published 2016-04-01
    “…The parametric anti-resonance phenomenon as an active damping tool for suppression of externally excited resonant vibration is numerically studied herein. …”
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    Article
  16. 76

    Detection of Objects Buried in the Sea Bottom with the Use of Parametric Echosounder by Eugeniusz KOZACZKA, Grazyna GRELOWSKA, Sławomir KOZACZKA, Wojciech SZYMCZAK

    Published 2013-03-01
    “…Object detecting technologies employing acoustic wave sources based on nonlinear interaction of elastic waves require application of parametric sound sources. Detection of objects buried in the sea bottom with the use of classic hydroacoustic devices such as the sidescan sonar or multibeam echosounder proves ineffective. …”
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    Developing software for parametric modelling of buildings and structures for the purposes of BIM by Joanna A. Pawłowicz, Marlena A. Jurczak

    Published 2021-04-01
    “…Parametric modelling gave rise to the building information modelling (BIM). …”
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  20. 80

    Optimizing Sensor Data Interpretation via Hybrid Parametric Bootstrapping by Victor V. Golovko

    Published 2025-02-01
    “…We investigated the use of a hybrid parametric bootstrapping method and robust statistical techniques to analyze datasets with outliers, then compared these outcomes with those derived from nonparametric bootstrapping. …”
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    Article