Sentence examples for linear regression simulation from inspiring English sources
In all our linear regression simulation studies, a sample size of 200 was assumed and 1000 simulated datasets were created.
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.
If one is interested in this measure of effect, rather than in model based predictions then it appears from this simulation that the linear regression model performs similarly well as the more novel variable-dispersion beta regression model and the fractional logit model.
Further, estimates of average variance across the 20,000 replicate simulations were similar across the linear regression model, the variable-dispersion beta regression model and the fractional logit regression model.
This study employs a Monte Carlo simulation design to compare the statistical properties of the linear regression model to that of the more novel beta regression, variable-dispersion beta regression, and fractional logit regression models.
The linear regression model, the variable-dispersion beta regression model and the fractional logit regression model all perform well across the simulation experiments under consideration.
Consider a linear regression model.
Five parameter linear regression model.
Four parameters linear regression model.
Figure 3 Linear regression model showing the relationship between the microtensile bond strength median values obtained with Clearfil SE Bond after different periods of shelf-life simulation.
