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Moments of probability distributions

Probability distributions can be described by their moments. Consider the probability distribution of a random variable x. The mth moment of [Pg.15]

The second moment (X2 is also called the variance and denoted by [Pg.16]

The third moment is related to the skewness of a distribution, aj, a measure of asymmetry, as follows [Pg.16]


Rate constants in bottleneck model Length of cell rth moment of probability distribution Mass of a cell Population density number of genes in Rahn s model... [Pg.202]


See other pages where Moments of probability distributions is mentioned: [Pg.63]    [Pg.15]   


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