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Perception by adults is appraised in these models by estimating visual contrasts, which determines detectability of a target object that is viewed contrasting with its natural background.
We compared models by estimating the log marginal likelihood values via the Bayes Factor test using the Tracer program [ 43].
We also examined multicollinearity in the regression models by estimating the variance inflation factor and tolerance, and detected no multicollinearity problem.
Heckman (1979) provided a method of addressing this problem in linear regression models by estimating the probability of an individual being included in the sample.
A new method that identifies significant associations in graphical models by estimating the threshold minimising the L1 norm between the cumulative distribution function (CDF) of the observed edge confidences and those of its asymptotic counterpart is proposed.
In this, the significance of factors was tested by individually subtracting each factor in turn from the full model and comparing models by estimating the difference in deviance (G) between the two models.
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However, we shall start with Johansen cointegration for testing the bivariate model by estimating Eqs. 10 and 11.
Further, we propose a novel video quality monitoring model by estimating the spatiotemporal complexity of video content.
The interaction between orifices is modeled by estimating the gas flow field caused by a growing bubble.
Assuming normality of the error term u we can (up to scale) identify the parameters of the model by estimating a probit model by maximum likelihood.
The responses can be sufficiently modeled by estimating the specific yield and five exponential time constants of a Moench/Boulton type model of delayed drainage.
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