c173c273_lec7a_circ_cub[1]

# c173c273_lec7a_circ_cub[1] - 5 h α 5 75 h α 7 ² h ≤ α...

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University of California, Los Angeles Department of Statistics Statistics C173/C273 Instructor: Nicolas Christou More variograms Two more varograms are presented below: a. Circular semi-variogram: γ ( h ; θ ) = c 1 ± 1 - 2 π cos - 1 ( h α ) + 2 h πα q 1 - h 2 α 2 ² , h α c 1 , h > α For second-order stationary process the covariogram is computed through γ ( h ) = C (0) - C ( h ): c ( h ; θ ) = - c 1 ± - 2 π cos - 1 ( h α ) + 2 h πα q 1 - h 2 α 2 ² , h α 0 , h > α Suppose: c 0 = 0 ,c 1 = 1 = 3. 0 1 2 3 4 5 0.0 0.2 0.4 0.6 0.8 1.0 h γ ( h 29 or c

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b. Cubic variogram: γ ( h ; θ ) = ( c 1 ± 7( h α ) 2 - 8 . 75( h α ) 3 + 3
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Unformatted text preview: . 5( h α ) 5-. 75( h α ) 7 ² , h ≤ α c 1 , h > α For second-order stationary process the covariogram is computed through γ ( h ) = C (0)-C ( h ): c ( h ; θ ) = ( c 1-c 1 ± 7( h α ) 2-8 . 75( h α ) 3 + 3 . 5( h α ) 5-. 75( h α ) 7 ² , h ≤ α , h > α Suppose: c = 0 ,c 1 = 1 ,α = 3. 0.0 0.5 1.0 1.5 2.0 2.5 3.0 0.0 0.2 0.4 0.6 0.8 1.0 h γ ( h 29 or c...
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## This note was uploaded on 02/11/2012 for the course STATS c173/c273 taught by Professor Nicolaschristou during the Spring '11 term at UCLA.

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c173c273_lec7a_circ_cub[1] - 5 h α 5 75 h α 7 ² h ≤ α...

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