Sentence examples for by a scale parameter from inspiring English sources

Cuntoor et al. [17] present a system that jointly segments and classifies events but the number of events in an unseen trajectory needs to be suitably controlled by a scale parameter.

More specifically, consider a power law PDF, (9), with y divided by a scale parameter(,varphi ), so that (overline{F} y/varphi )=cL y/varphi )(y/varphi )^{-eta }) and (f y)sim cL y)varphi ^{-1}eta (y/varphi )^{-eta -1}.) Then begin{aligned} partial ln f/partial varphi sim eta /varphi quad asquad yrightarrow infty end{aligned} (10)and so the score is bounded.

The negative binomial model, which is a generalized form of Poisson models and addresses the over-dispersion problem by a scale parameter has also been introduced into the influenza disease burden study [8], [15].

That is, other than the intercepts, the covariate effects

To account for possible over-dispersion, Poisson standard errors were inflated by a scale parameter equal to the Pearson chi-squared statistic divided by the residual degrees of freedom [ 21].

In order to adjust for over-dispersion, we adjusted all standard errors and test statistics by a scale parameter equal to the square root of the observed deviance of the model divided by its degrees of freedom [ 16].

CIs were adjusted for the added uncertainty from any factors not captured by the model by including a scale parameter in the regression model.

The calibration triangle helps to define the dimensional transformation to apply a correspondence between pixel/length by means of a scale parameter ( alpha ).

First, the impulsive noise is represented by four parameters: a scale parameter γ > 0, an index of stability α ∈ (0,2], a skewness parameter δ ∈ [−1,1], and a location parameter β ∈ R. The scale parameter γ is a key factor to generate impulsive noise, which is similar to the variance of the Gaussian distribution.

To reduce the number of fitted parameters required to describe the diclofenac distributions for the three survey periods, we instead assumed that U dliver) was a Weibull distribution, which is determined by just two parameters; a scale parameter a and a shape parameter b.

We obtain a wavelet family by dilating this function with a scale parameter s > 0 and translating it by u ∈ R : ψ u, s ( t ) = 1 s ψ ( t − u s ).