Multiple linear and logistic regressions were used to investigate the impacts of migraine and anxiety disorders on PPS.
Statistical analyses performed Multiple linear and logistic regression with adjustment for timing of measurements and length of gestation were performed.
Multiple linear and logistic regression models were used to assess the relationship between bacterial vaginosis and defensins.
This paper presents a new method for the detection and identification of multiple linear and nonlinear scatterers by combining nonlinear elastic wave spectroscopy, time reversal and DORT method.
Data analysis included the use of multiple linear and logistic regressions, which employed the sampling and replicate weights to account for sampling design.
These inferential estimators were constructed based on the application of both multiple linear and principal component analysis as well as non-linear regression.
Besides, some authors including Mahmoud (2008), Jensen et al. (2008), Amiri et al. (2012), and Kazemzadeh et al. (2010) considered more complicated models such as multiple linear and polynomial regression profiles.
The RBNN with RMSE of 0.037 in test data was found to be better than MLPNN with RMSE of 0.044 and multiple linear and nonlinear PSO based equations (ML-PSO and MNL-PSO) with RMSE of 0.043 and 0.041, respectively.
An application of the analytical approach of receptance for the analysis of vibration and stability of a structure with multiple linear and torsional springs of different stiffness attached to an axially loaded beam is described.
Although vibration and buckling characteristics of a structural model with multiple linear and torsional components can be obtained by directly solving governing differential equations, the process can become quite complicated if there are a large number of attachments with a wide range of stiffness values.
Multiple linear and logistic regressions were used for the analyses.
