Kolmogorov-Smirnov Goodness-of-Fit Test: Corrected for Use with 'EEG-Like' Data.

Abstract

The one-sample Kolmogorov-Smirnov goodness-of-fit test (KS) is designed for use with independent data and can be highly sensitive to correlated data. Standard critical values for KS cannot be used with data with known correlations. For data with EEG-like spectra (low frequency, high amplitude spectral peaks) an empirically derived correction for KS provides correct critical values and retains much of the power of the original KS. The correction is based on a simple quadratic expression involving a parameter, tau, computed from zero-crossing measurements.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1984
Accession Number
ADA144711

Entities

People

  • M. S. Weiss

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Amplitude
  • Autocorrelation
  • Computers
  • Data Science
  • Equations
  • Frequency
  • Goodness Of Fit Tests
  • Information Science
  • Mathematical Analysis
  • Neurology
  • Normal Distribution
  • Normality
  • Probability
  • Simulations
  • Statistical Analysis
  • Statistical Tests
  • Statistics

Fields of Study

  • Physics

Readers

  • Spectroscopy.
  • Statistical inference.