The basic goal of quantization for probability distribution is to reduce the
number of values, which is typically uncountable, describing a probability
distribution to some finite set and thus approximation of a continuous
probability distribution by a discrete distribution. Mixed distributions are an
exciting new area for optimal quantization. In this paper, we have determined
the optimal sets of n-means, the nth quantization error, and the
quantization dimensions of different mixed distributions. Besides, we have
discussed whether the quantization coefficients for the mixed distributions
exist. The results in this paper will give a motivation and insight into more
general problems in quantization of mixed distributions.Comment: arXiv admin note: text overlap with arXiv:1701.0416