Network Detection and Association: Statistical Assessment of Performance,

Abstract

Statistical methods are needed to assess the performance of a global seismic monitoring system. This report considers the problems of estimating the detection capability and identifying misassociations. Detection capability is expressed empirically through a region- and magnitude-dependent detection probability function. Regional network information can substantially improve the estimation of the global network's detection capability. A quantitative measure of the strength of the association of an event is proposed. The proposed amplitude-based measure can be used to discriminate between real events and false associations. It quantifies the agreement among the observed and expected amplitudes of detecting and non-detecting stations.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 14, 1995
Accession Number
ADP204502

Entities

People

  • Kevin K. Anderson

Tags

DTIC Thesaurus Topics

  • Amplitude
  • Data Science
  • Detection
  • Distribution Functions
  • Earthquakes
  • False Alarms
  • Frequency
  • Gaussian Distributions
  • Goodness Of Fit Tests
  • Information Science
  • Maximum Likelihood Estimation
  • Probability
  • Probability Distributions
  • Random Variables
  • Statistical Tests
  • Statistics
  • Surveys

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Seismology
  • Sensor Fusion and Tracking Systems.