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Quantizers for digital coding systems are usually optimized with respect to a model of the probability density function of the random variable to be quantized. Thus a mismatch of the quantizer relative to the actual statistics of the random variable may be unavoidable. This paper presents the results of an experimental investigation of three types of mismatch. For the modeling of the source statistics, the gamma-, Laplacian-, and Gaussian-distribution are used. The optimization of the quarttizers is carried out with respect to the minimum mean-square error criterion.