InternationaleJournals

Multivariate Approach to Earthquake Data

 D.Vijaya  Laxmi1 , Jakkula Srinivas2 & V.V. Hara Gopal3

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