The psychophysical functions, obtained by estimating a single threshold and slope for each of the estimation procedures and each subject, are shown in Fig. 6.
We removed all genes without significant variation across samples by estimating a noise threshold based on the mean signal of the BioB 3' probe set across all chips, and retaining all probes that were expressed above this noise level in at least 10% of chips.
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 our analysis, we accommodated the LOD censoring by estimating variable-threshold censored regression models [ 22, 24].
Percentage outside the bootstrap interval if * (P < 0.05); ** (P < 0.01); *** (P < 0.001) The flexibility of threshold models was improved in SHTLM by estimating different thresholds per slaughterhouse in order to take the different subjective interpretations of scoring systems into account.
The coefficient τ describes the separation of the categories within the time points, and we permitted the separation to vary according to time by estimating threshold-specific factor b. At the first time point we fixed b to one for the first response category within the latent groups to establish this as the reference category.
The experimental procedure was started by estimating the resting motor threshold (RMT) of the first dorsal interosseus muscle (FDI) by using the maximum likelihood procedure with 15 stimuli [16].
The total area occupied by brown markers (PrP and GFAP) or by white spaces (spongiosis) was estimated by setting a "threshold" using the thresholding tool for the selection of these areas, and the positive IHC/HE index for that image was calculated.
To further improve the previous results, in this paper, a new delay-dependent observer design is presented such that the estimation error system is stable, and the fault can be detected and estimated through a threshold by introducing the tuning parameter and slack variable.
We adjusted our criteria for statistical significance by estimating the appropriate P-value threshold assuming an experiment-wide Benjamini and Hochberg (1995) false-discovery rate (FDR) of 0.05 using the p.adjust function in the R Project (www.r-project.org).org
