Classification of Gaussian random processes using a simple linear discriminant and its application to seismic differentiation

DOI10.1016/0377-0427(87)90195-6zbMath0676.62050OpenAlexW2075099653MaRDI QIDQ5966493

G. R. Dargahi-Noubary

Publication date: 1987

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-0427(87)90195-6

zbMATH Keywords

time seriesGaussian processesearthquakesmaximum error of misclassificationoptimal linear discriminant functionsimple least squares estimatorunderground nuclear explosionsweighted least squares model

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Seismology (including tsunami modeling), earthquakes (86A15) Applications of statistics (62P99) Survival analysis and censored data (62N99)

Cites Work

• T 2 Tests, the Linear Two-Group Discriminant Function, and Their Computation by Linear Regression
• Classification into two Multivariate Normal Distributions with Different Covariance Matrices
• Disoominkfrcn between gaussian time series based on their spectral differences
• Geometry and linear discrimination
• On the Estimation of Regression Coefficients in the Case of an Autocorrelated Disturbance
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