GPS-X Technical Reference

Optimizer 410
RelGrad k = relative gradient for parameter k
repdof =
weighted replication sum of squares degrees of freedom (subscript used if
referring to a response variable)
= the variance of response j in experiment i
2
i, j
2
s
i, j = the estimate of the variance,
ˆ
2
i, j
se( k
) = standard error of parameter
k at the solution
SS =
weighted residual sum of squares (subscript used if referring to a response
variable)
SSlof =
weighted lack of fit sum of squares (subscript used if referring to a response
variable)
SSmean = total weighted sum of squares corrected for the mean
SSreg =
weighted regression sum of squares (subscript used if referring to a response
variable)
SSrep =
weighted replication sum of squares (subscript used if referring to a response
variable)
t(a,b) = student's t statistic with a degrees of freedom and a significance level of b
= number of time lags used in the Portmanteau statistic
= the vector of parameters to be estimated in the process model
ˆ = vector of estimated parameters at the solution
V
variance-covariance matrix at the solution
ˆ
V = the variance-covariance matrix for the ith experiment
i
V
i = the determinant of V
i
z
i , j = the measured value of response j in experiment i
mean of the replicate measurements corresponding to the vth value of the
z
=
independent variable
z
uth replicate measurement corresponding to the vth value of the independent
u , v =
variable
GPS-X Technical Reference