Although the latter are usually based on maximum likelihood estimation, the conditional mean models use non-linear least squares or quasi-maximum likelihood estimators.
Ford's ECOnetic models use non-engine-tuning measures including aerodynamic improvements, low rolling resistance tires, lower suspension settings and low-resistance engine lubricants to improve fuel economy and lower CO2 emissions.
Two linear discriminant analysis models, using non-stochastic and stochastic linear indices, were obtained.
While the estimates of population size and trend did not suffer greatly in models using non-informative priors, the algorithm was unable to accurately estimate demographic parameters.
The chapter also analyzes nine different series of three-dimensional models, using non-linear finite element method to study the behavior of this new geometry of beam to double-I built-up connection under applied loading.
The obtained LDA-based QSAR models, using non-stochastic and stochastic indices, were able to classify correctly 94.51% (90.63%) and 93.41% (93.75%) of the chemicals in training (test) sets, respectively.
Sometimes these models uses non-financial information (Ohlson, 1980; Bandyopadhyay, 2006).
The equilibrium data were fitted to the Langmuir and Freundlich isotherm models using non-linear regression technique.
We have also estimated the models using non-linear estimation methods (i.e. logit and probit) and the results, available upon request from the authors, are unaffected.
Logistic regression was selected for its popularity in classification models using non-censored data and in clinical settings [ 18, 56].
However, we provide a statistical framework for comparing real-world networks to other theoretical models using non-parametric statistics.
