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Then, the model is mainly exploited to determine the parameters of the distribution.
In Section 6, we discuss the maximum likelihood method for estimating the parameters of the distribution.
The parameters of the distribution model are derived using the method of linear moments.
Then, the model is mainly used for finding the parameters of the distribution, as demonstrated, e.g., in [5, 153, 166].
If one of the K distributions matches the current pixel value, the parameters of the distribution are updated.
Transport equations for the parameters of the distribution function describing the mixture composition are derived and solved numerically.
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The parameters of the distributions were estimated using the method of probability weighted moments.
Wada and Perron (2006) impose restrictions in the parameters of the distributions with mixture of normals.
The analysis identifies the correlation between the parameters of the distributions and defines their dependence on the geometric and hydraulic characteristics of the channel.
The parameters of the distributions are listed in Table 1.
Then, we used well-known method of moments relationships between the parameters of the distributions and their expected value and variance e.g., [40].
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