Long-term BER can be estimated from the measurements using error model based on Neyman Type A contagious distribution , .
The BER vs SNR class plots contain 95 % confidence intervals for the bit error rates calculated using (1) and the long-term bit error rates (denoted with black asterisks) estimated with the error model based on Neyman Type A contagious distribution.
In the second approach, the long-term BERs have been estimated using recorded values of "errors accumulated in a message reception using Viterbi hard decision" and Nayman Type A contagious distribution error model.
The second approach estimates the long-term BER using recorded number of bit errors in received messages and error model based on Neyman Type A contagious distribution appropriate for channels with impulsive noise.
Service (1993) noted that "several mathematical models have been proposed to describe contagious distributions of natural populations, but the negative binomial model appears to be the most widely applicable.
The fit and significance of contagious distributions when applied to observations on larval insects.
Experimental evidence concerning contagious distributions in ecology.