Patent Document ID: 20100305860
Application ID: 12789497
Patent Flag: 0

Claim One:
1. A computer-implemented method for estimating a set of regression coefficients for use in estimating a model forecast variable, comprising: receiving, at a computer programmed with appropriate software, data of an n-vector a MOS and an n-vector b MOS , the elements of a MOS and b MOS comprising a set of modeled output statistics (MOS) estimates of the true values of forecast correction coefficients a and b; receiving, at the computer, data of an n-vector a prior and an n-vector b prior , the elements of a prior and b prior comprising a set of prior estimates of forecast correction coefficients a and b; receiving, at the computer, data of a spatial covariance matrix G a for a prior and a spatial covariance matrix G b for b prior ; receiving, at the computer, data of a spatial error covariance matrix R a for a MOS and a spatial error covariance matrix R b for b MOS ; and transforming the data of a MOS , b MOS , a prior , b prior , G a , G b , R a , and R b into a set of estimated regression coefficients a FMOS and b FMOS , wherein 
 a FMOS =a prior =G a ( G a =R a ) −1 ( a MOS −a prior ); and 
 b FMOS =b prior =G b ( G b =R b ) −1 ( b MOS −b prior ).