  We present an analysis of the Gaussianity of the 4-year COBE-DMR data (in
HEALPix pixelisation) based on spherical wavelets. The skewness, kurtosis and
scale-scale correlation spectra are computed from the detail wavelet
coefficients at each scale. The sensitivity of the method to the orientation of
the data is also taken into account. We find a single detection of
non-Gaussianity at the $>99%$ confidence level in one of our statistics. We use
Monte-Carlo simulations to assess the statistical significance of this
detection and find that the probability of obtaining such a detection by chance
for an underlying Gaussian field is as high as 0.69. Therefore, our analysis
does not show evidence of non-Gaussianity in the COBE-DMR data.
