Page 158 - Special Topic Session (STS) - Volume 2
P. 158

STS474 Yoshihiro Y.
                                             ∥  ∥ 2                                    (2)
                                        ∫          2  () < ∞
                                           1 +∥  ∥
                  (See (see Chilés & Delfiner (2012); Cressie (1993); Solo (1992); Yaglom (1957).)
                     Hereafter we assume that () = 0 and () is absolutely continuous with
                  density (). Then (1) and (2) reduce to

                                                      1−cos((,))
                                            
                                                           2 () = ∫   (2)   (),
                                                    
                  and
                                                ∥  ∥ 2
                                           ∫          2 () < ∞,
                                              1 +∥  ∥
                  respectively.
                     An interesting special class of ISRF's that is often applied to empirical data
                  analysis  in  space  is  a  fractional  Brownian  field  (FBF)(see  Adler  (1981);
                  Mandelbrot& Van Ness (1968); Zhu & Stein (2002) and the references therein).
                  A FBF is a Gaussian ISRF and has 2 () =  ∥  ∥ 2 , which is equivalent to
                                                   
                                                         
                                               () =        ,
                                                       ∥  ∥ +2
                  where
                                       ⁄
                                =   2 2+ Γ( + 2 2 Γ(1 − )⁄  , 0 <  < 1.
                                                        ⁄
                                         2
                                 
                  (Yaglom (1957)).  is a scale parameter and  is a smoothness parameter
                  with larger values corresponding to smoother surfaces.
                     Hereafter  we  assume  that    =  2  and  {()}  is  a  two-dimensional
                  Gaussian  ISRF.  Then  we  also  denote  λ  by ( ,  ) and  the  spectral  density
                                                                  2
                                                               1
                  function () by ( ,  ) respectively.
                                        2
                                     1
                     In  this  paper  we  consider  the  following  class  of  the  spectral  density
                  function, which includes a FBF.

                  Assumption 1 ( ,  ) is expressed by
                                       2
                                    1
                               ( ,  ) =∥  ∥ −2ℎ−2   ( ,  ),       0 <  < 1,
                                     2
                                                       1
                                                    
                                  1
                                                          2
                  where  ( ,  ),is  a  nonnegative  with  (0,0) > 0,  symmetric,  ( ,  ) =
                                                                                   
                                                           
                                                                                         2
                                                                                      1
                             1
                          
                                2
                   (− , − ),twice continuously differentiable function for −∞ <  ,  < ∞
                   
                                                                                    1
                        1
                                                                                       2
                             2
                  and is bounded with bounded first and second order partial derivatives.

                  2.  Methodology
                     We  denote  the  sampling  sites  and  observations  by     = (, )  and
                  ( )(,  = 1, … , )respectively. Then the sample size is  .
                                                                           2
                     

                  Definition 2.1(Data Tapers of order ). {ℎ : = 1, … , } is called a sequence
                                                            
                  of data tapers of order  if it satisfies the following conditions.
                                                                               ℎ = 1.
                  (1)  ℎ  is positive and symmetric around   =  /2 with max 1≤≤ 
                       
                  (2)  For any  > 0, there exists a constant , 0 <  < ∞, which may depend on
                       so that ∑   ℎ   =  holds.
                                     =1
                                =1
                                                                     147 | I S I   W S C   2 0 1 9
   153   154   155   156   157   158   159   160   161   162   163