![]() In calculating variances, the coefficients of variation are multiplied by the prior information values specified in item 7, or the log10 of that value for log-transformed parameters if the value equals zero, 1.0 is used instead. ![]() First, the coefficients of variation and correlation coefficients are used to calculate variances and covariances, and then the inverse of the variance-covariance matrix is calculated. The weight matrix is calculated by in two steps. For parameters specified as being log-transformed in the Sensitivity Process input file, the corresponding WTP elements are interpreted as being relative to the log-transformed value (using log base 10). Diagonal term WTP(I,I) is the coefficients of variation for the parameter designated by NIPRNAM(I) off-diagonal term WTP(I,J) is the correlation coefficients for the parameters designated by NIPRNAM(I) and NIPRNAM(J). The diagonal terms are the coefficients of variation of the prior information off-diagonals are the correlation coefficients and vary in value from –1.0 to +1.0. ![]() IWTP = 1, WTP is a matrix of coefficients of variation (the standard deviation divided by the prior information value) and correlation coefficients.
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