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.
[1]
B. Everitt,et al.
Finite Mixture Distributions
,
1981
.
[2]
John W. Tukey,et al.
Approximate behavior of the distribution of Winsorized t (Trimming/Winsorization 2)
,
1968
.
[3]
Vic Barnett,et al.
Outliers in Statistical Data
,
1980
.
[4]
Andre G. Journel,et al.
The Place of Non-Parametric Geostatistics
,
1984
.
[5]
P. J. Huber.
Robust Estimation of a Location Parameter
,
1964
.
[6]
Andre G. Journel,et al.
Conditional Indicator Simulation: Application to a Saskatchewan uranium deposit
,
1984
.