The method involves determining a probability density range for the parameter for an element of a measurement sequence, whereby the probability density range is bounded by lower and upper (k-1) dimensional surfaces, e.g. derived from a database, discretizing the bounding surfaces, associating boundary values, determining a probability range for the estimated output parameter in which at least m of n probability density ranges overlap.
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