Zobrazeno 1 - 10
of 106
pro vyhledávání: '"David Vere-Jones"'
Publikováno v:
Contemporary Lithospheric Motion Seismic Geology ISBN: 9781003079583
Contemporary Lithospheric Motion Seismic Geology
Contemporary Lithospheric Motion Seismic Geology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b44ea74fa4c490c3b35ce667687a52c7
https://doi.org/10.1201/9781003079583-15
https://doi.org/10.1201/9781003079583-15
Autor:
Lu Shaochuan, David Vere-Jones
Publikováno v:
Pure and Applied Geophysics. 168:1567-1585
The paper studies the statistical properties of deep earthquakes around North Island, New Zealand. We first evaluate the catalogue coverage and completeness of deep events according to cusum (cumulative sum) statistics and earlier literature. The epi
Autor:
David Vere-Jones
Publikováno v:
Pure and Applied Geophysics. 167:645-653
A brief account is given of the principles of stochastic modelling in seismology, with special regard to the role and development of stochastic models for seismicity. Stochastic models are seen as arising in a hierarchy of roles in seismology, as in
Autor:
David Vere-Jones
Publikováno v:
Advances in Applied Probability. 40:882-896
In this paper a limit theorem is proved that establishes conditions under which the distribution of the difference between the size of the initial event in a random sequence, modeled as a finite point process, and the largest subsequent event approac
Autor:
D. J. Daley, David Vere-Jones
Publikováno v:
Journal of Applied Probability. 45:293-296
Autor:
David Vere-Jones
Publikováno v:
Environmental and Ecological Statistics. 16:173-195
A common element in modelling forest fires and earthquakes is the need to develop space-time point process models that can be used to quantify the evolving risk from forest fires (or earthquakes) as a function of time, location, and background factor
Publikováno v:
New Zealand Journal of Geology and Geophysics. 50:117-130
We develop procedures for evaluating the efficacy of the M8 algorithm and producing probability forecasts in both time and space. Our modelling method uses the Critical Series developed by Harte et al. in 2003 as a predictor variable in a logistic re
Autor:
David Vere-Jones
Publikováno v:
Geophysical Journal of the Royal Astronomical Society. 42:811-826
Summary The role of stochastic models in geophysics is discussed from both an historical and a philosophical point of view. Specific models for earthquake sequences are analysed in the light of these general considerations, and some related developme
Autor:
David Vere-Jones
Publikováno v:
Tectonophysics. 413:5-12
An account is given of the author's experiences in the development of statistical seismology as a tool for the description, understanding, and forecasting of earthquakes. The discussion is focussed on the formulation and use of stochastic models for
Autor:
David Vere-Jones
Publikováno v:
Advances in Applied Probability. 37:908-914
We describe a class of self-similar random measure that generalizes the class of stable, completely random measure, or, in one dimension, the class of processes with stable independent increments. As with the stable processes, the realizations are pu