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probability of exactly n i outcomes of event i, for i = 1, 2, ..., k in n independent trials when the
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In probability and statistics, the
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mixture model is a probabilistic model for representing the presence of subpopulations within an overall population, without requiring that an observed data set should identify the sub-population to which an individual observation belongs. Formally a
mixture model corresponds to the
mixture distribution that represents the
probability distribution of observations in the ... buy Finite Mixture Models (Wiley Series in Probability and Statistics) android Finite Mixture Models (Wiley Series in Probability and Statistics) pdf download Box and Cox (1964) developed the transformation. Estimation of any Box-Cox parameters is by maximum likelihood. Box and Cox (1964) offered an example in which the data had the form of survival times but the underlying biological structure was of hazard rates, and the transformation identified this.
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