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OPR-PPR., a computer program for assessing data importance to model predictions using linear statistics: constructed using the JUPITER API
U.S. Government
Paperback. Books LLC, Reference Series 2012-06-23.
ISBN 9781234412883
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Förlagets beskrivning
Original publisher: Reston, VA : U.S. Dept. of the Interior, U.S. Geological Survey, 2007. OCLC Number: (OCoLC)166329095 Subject: Groundwater flow -- Computer simulation. Excerpt: ... Chapter 2: Methods of Analysis where: th?s is the standard deviation of the simulated prediction, z ?; l z ??is the matrix containing sensitivities of each prediction ( z ? ) with respect to each Z l z ? ? / ? b defined model parameter ( b ), with elements equal to; j?j V is the square symmetric parameter variance-covariance matrix, with dimensions of NPAR ( number of defined parameters ) by NPAR; 2 s is the calculated error variance from the model calibration; X is the matrix of sensitivities of simulated equivalents of the observations and of prior information; X is the matrix of sensitivities of the simulated equivalents of the observations ( y ? ) Y i y ? ? / ? b with respect to all defined model parameters, with elements equal to and i j dimensions NPAR by NOBS ( number of observations ); X is the matrix of sensitivities for the prior information with respect to all defined PRI parameters, with dimensions NPAR by NPRIOR ( number of prior information items ), and typically containing one entry in each row equal to 1.0 ( in the column corresponding to the parameter with prior information ) and all other entries equal to 0.0; ? is the matrix of weights on observations used in the calibration and on prior information; ? is the matrix of weights on observations used in the calibration; Y ? is the matrix of weights on prior information; and, PRI T indicates the transpose of the matrix. This method for calculating the prediction standard deviation is called a first-order, second-moment ( FOSM ) method. It is first order because it is linear and it is second moment because the terms of the parameter-covariance matrix are second moment statistics ( e.g., Glasgow and others, 2003 ). Equation 1 shows that prediction standard deviation is a function of ( 1 ) parameter uncertainty, repre
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OPR-PPR., a computer program for assessing data importance to model predictions using linear statistics: constructed using the JUPITER API
Bokrecensioner » OPR-PPR., a computer program for assessing data importance to model predictions using linear statistics: constructed using the JUPITER API
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