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Eight test cases were constructed and an ensemble of USHCN analyses were undertaken, varying uncertain parameters within the algorithm.
Posterior distributions of uncertain parameters are derived.
Here, n denotes the number of uncertain parameters.
For each realization, all of the uncertain parameters are sampled.
In general, many issues of the test data processing refer to uncertain parameters or to decisions based on uncertain parameters.
The uncertain parameters were modeled as an interval vector.
Here, uncertain parameters are dealt with as correlated interval variables.
The uncertain parameters were modeled by interval numbers.
During this procedure, uncertain parameters are transformed into continuous variables.
The system has known model structure with uncertain parameters.
The uncertain parameters are described by interval variables.
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