Multicollinearity was not detected (variance-inflation factor < 1.2 for each explanatory variable of each model), and the Hosmer Lemeshow test verified the good fit (P > 0.05) of each logistic regression model.
One unique aspect of our research is that we link two ANN modules including (1) module one, which is used for detecting variance shifts (fault detection) as well as diagnosing the source of shifts (fault diagnosis), and (2) module two, which consists of some ANNs used for estimating the time of variance step changes.
Using a data mining technique to detect variance within the data before classification offers performance advantages over other statistical variance techniques in the order of between 16 and 46%.
Using a multiple objective optimisation model, a sensitivity analysis has been conducted to detect variance of performance in relation to three typical supply chain strategies (manufacturing to order, manufacturing from stocks and manufacturing to stocks), and based on different product characteristics (value-adding and demand uncertainty).
Adding data from siblings of twins increases the statistical power to detect variance due to A, C and/or D (Posthuma and Boomsma 2000).
As shown in Fig. 1, the linear trend is present, notwithstanding the low power to detect variance components attributable to individual chromosomes.
In the risk-profiling framework, prediction efficacy (e.g., the amount of variance that can be explained by the GRPS) depends on the sample size of the discovery sample whereas the ability to detect variance explained that is significantly larger than zero depends on the size of the target sample.
The ITF, ATP, WTA and grand slam tournaments, who make up the group, unanimously supported the introduction of the passport, which is used to detect variances in biological make-up that might indicate doping and has been successfully used in cycling.
This provides evidence on the ability of the SF-8 to correctly detect variances in health within conflict-affected populations.
We have studied the potential of detecting variance-controlling QTL by fitting a double generalized linear model via a two-stage procedure to simulated phenotype and marker information.
