InternationaleJournals
Multivariate Approach to Earthquake Data
1 & 2 Dept. of Statistics, Kakatiya University, Warangal, e-mail: dammavalam_vijaya@yahoo.co.in
3 Department of Statistics, Osmania University, Hyderabad
ABSTRACT
The voluminous earth quake data
sets, covering entire Northern part of India comprised of Himalayan Mountain
belt is divided in to 3 parts i.e., North Western (NW), Central (C) and North
Eastern (NE), and also the total data samples of entire Himalayan belt,
constitute with Latitude, Longitude, Magnitude ( M ≥ 4 ) and Focal
depth(Lt, Ln, M, Fd) are considered for the present study. An attempt is
made to analyze the relation between the 4 parameters Lt, Ln, M and Fd using
the cluster and Factor analyses. The analyses of monthly resolution earthquake
frequency time series suggest that earthquake processes in all three regions
evolve on a high dimensional chaotic plane. The significant distinction in the
earthquake dynamical patterns seems to be associated with the underlying seism
tectonics of these three regions.
Keywords: Multivariate Analysis, Cluster Analysis, Factor Analysis,
Interactive Graphs.
AMS Classification: 62H30, 62H25, 62-09
International eJournal of Mathematical Sciences, Technology and Humanities
Volume 4, Issue 1, Pages: 1195 - 1209