Generating Inter-Correlated Observations Under A Specified Spatial Model  

Oleh:

Steel, David G. ; Pawitan, Gandhi

Jenis: Article from Bulletin/Magazine
Dalam koleksi: Integral: Majalah Ilmiah Matematika dan Ilmu Pengetahuan Alam vol. 9 no. 2 (Jul. 2004), page 58-65.
Topik: spatial data; spatial data; random generation; semivariogram; choleski decomposition

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II48.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The requirement to generate this random process needs only to define the variance - covariance matrix of th erandom process. Since the random process is defined in three dimensional space, then we can use a spatial model. One of the spatial model to define the random process is in the form of variogram, which is a function of disctance between pairs of observations. The variance covariance matrix may be determined in relation with two other properties, those are correlogram and covariogram. The simulation process was started by generating a random points within a particular shape of region. The locations are uniformly distributed withi the region. Lets V is avariance - covariance matrix of the random process Y [L]. The random process Y [L] mmay be defined by the semivariogram model ... The ... is a cartesian distance between two different individual within domain D of boundary B. The distribution based approaches can be applied to generate random observations using choleski decomposition.

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