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Second factorial moment

For comparison, we have calculated the statistical parameter n (second order factorial moment) for the PDF shown in Fig. 2 and Fig. 3. The scattering geometries are the same but the number of samples is higher (10 series of 10 positions). The results are shown in Fig. 4 and Fig. 5. In general, n is noisier and its relative errors are much higher than those of P(/cross = 0). For both scattering systems, the second moment of the co-polarized scattered intensity,... [Pg.181]

Exercise. It is also possible to deduce from (6.4) equations for the second moments. The most condensed way of expressing the result is in terms of the factorial cumulants (1.3.13) ... [Pg.184]

In the same way one finds by laborious algebra an equation for the second moments , which simplifies when expressed in the factorial cumulants... [Pg.365]

The factorial methods in this chapter are also called second-order transformations, because only two moments, mean and covariance, are needed to describe the Gaussian distribution of the variables. Other second-order transformations are FA, independent component analysis (ICA), and multivariate curve resolution (MCR). [Pg.144]


See other pages where Second factorial moment is mentioned: [Pg.164]    [Pg.214]    [Pg.191]    [Pg.192]    [Pg.195]    [Pg.195]    [Pg.164]    [Pg.214]    [Pg.191]    [Pg.192]    [Pg.195]    [Pg.195]    [Pg.46]    [Pg.54]    [Pg.108]   
See also in sourсe #XX -- [ Pg.192 ]




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