Maximum Likelihood Estimation of Seismic Event Magnitude from Network Data

Abstract

Seismic networks often tend to overestimate the magnitude of earthquakes, because those stations within the network that do not detect a particular event are ignored in the conventional magnitude averaging procedure. By assuming a normal distribution of world-wide magnitudes for any given event, it is possible to establish a simple statistical model that includes the additional information that the event magnitude at nondetecting stations must be below a certain threshold value. In this report, maximum likelihood estimation is applied to determine event magnitude based on this model. The advantages and limitations of the technique are discussed using both simulated and real data.

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 1975
Accession Number
ADA012296

Entities

People

  • Frode Ringdal

Organizations

  • Texas Instruments

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Confidence Limits
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Gaussian Distributions
  • Information Science
  • Maximum Likelihood Estimation
  • Normal Distribution
  • Probability Density Functions
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Distributions
  • Surveys
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Seismology