Download OLAP Over Uncertain and Imprecise Data

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Maximum Likelihood Principle
A reasonable estimate for this function P can be that
which maximises the probability of generating the
given imprecise data set D.
Example :
Suppose the pdf depends only on the cells and is
independent of the measure values. Thus, the pdf is a
mapping : C  where C is the set of cells.
This pdf can be found by maximising the likelihood
function :
( ) = r D ∑c Reg(r) (c)