  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 $n$th quantization errors, 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 for mixed distributions.
