Sentence examples for regression simulation from inspiring English sources

Hence for a more realistic simulation a second regression simulation was conducted in which the simulated blinks had a randomly varying amplitude.

In all our linear regression simulation studies, a sample size of 200 was assumed and 1000 simulated datasets were created.

Results reported here show by means of a regression simulation that the estimate obtained from a dynamically balanced trial is unbiased, and a new estimate of its standard deviation is similarly shown to be unbiased.

Moreover, in order to assess the aptness of the proposed probit/log-skew normal mixture model we conducted a probit/log-beta regression simulation for repeated measures data.

Fig. 5 Distribution of coefficients for effect of electronic precriptions in one thousand regression simulations assuming random dates for the intervention (observed result with true dates marked in red).

For ordinal logistic regression, simulations suggested that 200 per group may be adequate, except for two-item scales [ 56].

We compare the power of Cox-MDR with those of Surv-MD and Cox regression model through simulation studies with 40 different penetrance models listed by Velez et al. (2007).

Based on this simulation a regression model has been developed.

We then formulate an optimization model to determine the design of a brine disposal system with multiport diffusers in which the regression model replaces the simulation model.

A good agreement was seen between the predicted data based on the developed regression model and DOE simulation and the maximum error was less than 5%.

That said, the power for estimated variable-dispersion beta regression models and the fractional logit regression models, respectively, marginally exceeded that of the linear regression model across all simulation experiments considered.