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Single-Point  Analytical  Formulations          213


        where K map  is the  generalized covariance matrix.  Then,


        and, hence,


        From  Equation  10.38  we get                                 The
        posterior  pdf  is given  by









        where  the  A,  B,  D  and E s  depend on the  form  of  the  soft  data available
        (Chapter  6).  If,  e.g., the  soft  data  are of  the  interval  form,  Equation  10.39
        reduces  to





        where  the  9§  is  given  by  Equation  10.37.  In  this  case  the  BME  equation
        becomes

        where                                      Equation  10.41  can then

        be solved with  respect to  the  BME estimate
            The  choice  of  the  S/TRF  operator  Q  involved  in  the  BME  calculations
        above  should  be  made in  a way that  is  mathematically  rigorous  as well  as  in-
        ternally  consistent  (the  Q-operator  and the  various physical theories and  laws
        governing  the  natural  variables involved  in  a specific  application  must  be  in-
        terrelated  and corroborative).  It  is possible,  e.g., that  Q  represents the finite
        difference  scheme obtained  from  the  discretization  of  the  differential  equa-
        tion  law  governing  a  physical  phenomenon.  In  many  cases,  the  form  of  the
        S/TRF operator  Q  may change from  one space/time  neighborhood to  another
        (Christakos,  1992).



        Some     Non-Gaussian        Analytical    Expressions

        The preceding analytical results are concerned about general knowledge bases §
        that  involve  second-order space/time  moments (e.g., covariance or variogram
        functions).  This  essentially implies  that  the  ^-based  operator  9£  has one of
        the familiar  quadratic  expressions, and the resulting  prior  pdf f s of Equation 5.6
        (p.  106)  has a Gaussian form.  If the  ^-base includes higher  order  space/time
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