Mixture of populations |
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Authors: | Hua Zhu and André G. Journel |
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Affiliation: | (1) Department of Applied Earth Sciences, Stanford University, 94305 Stanford, California |
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Abstract: | A simple example simulating a mixture of two normal populations results in some important observations, nonnormality and nonsymmetry of the mixture conditional pdf, nonlinearity of the conditional mean as a function of the conditioning data, heteroscedasticity of the conditional variance and its nonmonotonicity as a function of distance of the unknown to the conditioning data. A comparison of the mixture statistics with those predicted by traditional models ignoring the mixture reveals the inadequacy and inappropriateness of these traditional approaches. A mixture of two multivariate normal populations is illustrated through the analytical expressions of its conditional distribution and moments. |
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Keywords: | mixture of populations conditional distribution nonlinear regression heteroscedasticity |
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