Prediction performance of the linear regression model R5 and 2 neural network models were compared to determine a model with reasonable accuracy for parametric estimation
of urban railway project costs.
If the Kristrom's method is compared with the linear parametric estimation
the differences are not significant base on the overlapping of the confident intervals.
Distributions other than the gaussian can be used for parametric estimation
of reference intervals; an analysis of the TSH data given in the Results assumes that the data are sampled from an exponential distribution.
They are the cornerstones of the parametric estimation
technique developed by the RAND Corporation in the 1950s to predict the cost of aircraft.
Recently,  considered parametric estimation
of the cumulative incidence function (CIF) for competing risks data subject to interval censoring.
The topics include fractional Brownian motion and related processes, parametric estimation
for fractional Ornstein-Uhlenbeck type processes, sequential inference and non-parametric inference for processes driven by fractional Brownian motion, parametric estimation
for processes driven by a fractional Browning sheet, and self-similarity index estimation.
Table 2 Dichotomous Choice with Certainty Corrections Cert [greater than Model Uncorrected or equal to] 5 Parametric estimation
(logit) "Constant" 0.
Although this exclusion restriction is typically not necessary for parametric estimation
, it is generally crucial for semi-parametric procedures.