Are different M = a + bI0 relationships due to a statistical bias?

Relationships between magnitude and macroseismic intensity are widely used, even though intensity is a non-metric observable. Several proposed relationships for the Italian and surrounding regions show a significant correlation of the parameters of the widely used functional form M = a + bI0 This co...

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Main Author: M. Mucciarelli
Format: Article
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 1998-06-01
Series:Annals of Geophysics
Subjects:
Online Access:http://www.annalsofgeophysics.eu/index.php/annals/article/view/3789
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author M. Mucciarelli
author_facet M. Mucciarelli
author_sort M. Mucciarelli
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description Relationships between magnitude and macroseismic intensity are widely used, even though intensity is a non-metric observable. Several proposed relationships for the Italian and surrounding regions show a significant correlation of the parameters of the widely used functional form M = a + bI0 This could suggest either the common dependence on a third variable or that the different proposed relationships are due to a pivotal phenomenon around average values, mainly driven by data sampling and uncertainties. Synthetic simulations lend support to the last hypothesis.
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spelling doaj.art-1b561f91aedd4bec90172ef9c76b27c32022-12-22T01:48:21ZengIstituto Nazionale di Geofisica e Vulcanologia (INGV)Annals of Geophysics1593-52132037-416X1998-06-0141110.4401/ag-3789Are different M = a + bI0 relationships due to a statistical bias?M. MucciarelliRelationships between magnitude and macroseismic intensity are widely used, even though intensity is a non-metric observable. Several proposed relationships for the Italian and surrounding regions show a significant correlation of the parameters of the widely used functional form M = a + bI0 This could suggest either the common dependence on a third variable or that the different proposed relationships are due to a pivotal phenomenon around average values, mainly driven by data sampling and uncertainties. Synthetic simulations lend support to the last hypothesis.http://www.annalsofgeophysics.eu/index.php/annals/article/view/3789intensitymagnitudehistorical earthquakes
spellingShingle M. Mucciarelli
Are different M = a + bI0 relationships due to a statistical bias?
Annals of Geophysics
intensity
magnitude
historical earthquakes
title Are different M = a + bI0 relationships due to a statistical bias?
title_full Are different M = a + bI0 relationships due to a statistical bias?
title_fullStr Are different M = a + bI0 relationships due to a statistical bias?
title_full_unstemmed Are different M = a + bI0 relationships due to a statistical bias?
title_short Are different M = a + bI0 relationships due to a statistical bias?
title_sort are different m a bi0 relationships due to a statistical bias
topic intensity
magnitude
historical earthquakes
url http://www.annalsofgeophysics.eu/index.php/annals/article/view/3789
work_keys_str_mv AT mmucciarelli aredifferentmabi0relationshipsduetoastatisticalbias