Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Pisarenko, V. A."'
Autor:
Pisarenko, V. F.
Publikováno v:
Izvestiya, Physics of the Solid Earth; Oct2024, Vol. 60 Issue 5, p836-841, 6p
Autor:
Pisarenko, V. F.1 (AUTHOR) v.f.pisarenko@mail.ru, Skorkina, A. A.1 (AUTHOR) anna@mitp.ru, Rukavishnikova, T. A.1 (AUTHOR) tanyar@mitp.ru
Publikováno v:
Journal of Volcanology & Seismology. Apr2023, Vol. 17 Issue 2, p75-82. 8p.
Publikováno v:
Cybernetics & Systems Analysis; Sep2024, Vol. 60 Issue 5, p726-735, 10p
Autor:
Pisarenko, V. F., Sornette, D.
Publikováno v:
Eur. Phys. J. Special Topics 205, 95-115 (2012)
We ask the question whether it is possible to diagnose the existence of "Dragon-Kings" (DK), namely anomalous observations compared to a power law background distribution of event sizes. We present two new statistical tests, the U-test and the DK-tes
Externí odkaz:
http://arxiv.org/abs/1104.5156
Autor:
Sornette, D., Pisarenko, V.
Publikováno v:
Eos Transactions AGU, Vol. 92, No. 8, page 64, 22 February 2011
In a Forum published in EOS Transactions AGU (2009) entitled "Lies, damned lies and statistics (in Geology)", Vermeesch (2009) claims that "statistical significant is not the same as geological significant", in other words, statistical tests may be m
Externí odkaz:
http://arxiv.org/abs/1001.4158
Publikováno v:
Physical Review E 83, 036111 (2011)
We address the general problem of testing a power law distribution versus a log-normal distribution in statistical data. This general problem is illustrated on the distribution of the 2000 US census of city sizes. We provide definitive results to clo
Externí odkaz:
http://arxiv.org/abs/0909.1281
Publikováno v:
Earth Planets Space 62, 567-578 (2010)
We modify the new method for the statistical estimation of the tail distribution of earthquake seismic moments introduced by Pisarenko et al. [2009] and apply it to the earthquake catalog of Japan (1923-2007). The method is based on the two main limi
Externí odkaz:
http://arxiv.org/abs/0908.2240
Akademický článek
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We present a generic and powerful approach to study the statistics of extreme phenomena (meteorology, finance, biology...) that we apply to the statistical estimation of the tail of the distribution of earthquake sizes. The chief innovation is to com
Externí odkaz:
http://arxiv.org/abs/0805.1635
Autor:
Sornette, D., Pisarenko, V. F.
We analyze the properties of arguably the simplest bilinear stochastic multiplicative process, proposed as a model of financial returns and of other complex systems combining both nonlinearity and multiplicative noise. By construction, it has no line
Externí odkaz:
http://arxiv.org/abs/physics/0703217