Application of Statistical Distributions to PM10 Concentrations: Van, Türkiye
Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2023 Air pollution is one of the most serious environmental pollution problems that adversely affect human health and the environment. Industrializing and frequent use of low-quality coals for heating purposes and incorrect combustion techniques may cause ...
Kübra Bağcı
doaj +1 more source
Alibeyköy Havzası İçin En Uygun Taşkın Olasılık Dağılımı
ALKÜ Fen Bilimleri Dergisi, 2023 Determination of peak flow rates is crucial in reducing the economic and social impact of flood. Therefore, the investigation of various methods for estimating flood is of paramount importance.
Mehmet Dikici +2 more
semanticscholar +1 more source
Gravitational waves induced by scalar perturbations with a lognormal peak [PDF]
Journal of Cosmology and Astroparticle Physics, 2020 We study the stochastic gravitational wave (GW) background induced by the primordial scalar perturbation with the spectrum having a lognormal peak of width Δ at k=k*. We derive an analytical formula for the GW spectrum ΩGW for both narrow (Δ≪1) and broad
Shi Pi, Misao Sasaki
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A dynamical Gaussian, lognormal, and reverse lognormal Kalman filter
Quarterly Journal of the Royal Meteorological Society, 2023 We derive a generalization of the Kalman filter that allows for non‐Gaussian background and observation errors. The Gaussian assumption is replaced by considering that the errors come from a mixed distribution of Gaussian, lognormal, and reverse ...
Senne Van Loon, S. J. Fletcher
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Studies in Astronomical Time-series Analysis. VII. An Enquiry Concerning Nonlinearity, the rms–Mean Flux Relation, and Lognormal Flux Distributions [PDF]
Astrophysical Journal, 2020 A broad and widely used class of stationary, linear, additive time-series models can have statistical properties that many authors have asserted imply that the underlying process must be nonlinear, nonstationary, multiplicative, or inconsistent with shot
J. Scargle
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Lognormal and Mixed Gaussian-Lognormal Kalman Filters
Monthly Weather Review, 2022 In this paper we shall present the derivation of two new forms of the Kalman filter equations; the first is for a pure lognormally distributed random variable, while the second set of Kalman filter equations will be for a combination of Gaussian and ...
S. Fletcher +8 more
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iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 The Kinematic Theory of rapid movements and its associated Sigma-Lognormal model have been extensively used in a large variety of applications. While the physical and biological meaning of the model have been widely tested and validated for rapid ...
Miguel A. Ferrer +3 more
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The Poisson-lognormal model as a versatile framework for the joint analysis of species abundances
bioRxiv, 2020 Joint Species Abundance Models (JSDM) provide a general multivariate framework to study the joint abundances of all species from a community. JSDM account for both structuring factors (environmental characteristics or gradients, such as habitat type or ...
J. Chiquet, M. Mariadassou, S. Robin
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Rüzgar hız dağılımı modelinin yusufcuk algoritması ile parametre tahminlemesi] [PDF]
, 2023 In order to meet the increasing energy demand and to solve environmental problems, the interest in renewable energy sources continues with technology development studies and economic investments.
Aygün, Hilmi, Köse, Bayram, Pak, Semih
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Human behavior and lognormal distribution. A kinetic description [PDF]
Mathematical Models and Methods in Applied Sciences, 2018 In recent years, it has been increasing evidence that lognormal distributions are widespread in physical and biological sciences, as well as in various phenomena of economics and social sciences.
Stefano Gualandi, G. Toscani
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