Title :
Testing sonar data for multivariate normality
Author :
Baker, Charles R.
Author_Institution :
Universitry of North Carolina, Chapel Hill, North Carolina
Abstract :
The hypothesis of multivariate normality is frequently made for sonar data. Signal processing systems where design is based on this assumption may perform poorly if the assumption is not satisfied. Tests for multivariate normality are thus of interest. A test is described that can be used when the covariance matrix and mean vector of the data are known.
Keywords :
Covariance matrix; Distribution functions; Gaussian processes; Process design; Random variables; Signal processing; Sonar; Statistics; Stochastic processes; System testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
DOI :
10.1109/ICASSP.1979.1170769
