Sentence examples for variance in the peak from inspiring English sources

Exact(3)

The most important factor influencing the peak is the sulfanilamide concentration as shown by the significant variance in the peak height, which was accounted for by sulfanilamide concentration (R 2 = 0.598, F [1, 20] = 29.735, p = 0.000, Additional file 2).

The regressions were only able to explain 14.8, 13.7, 35.7 and 14.6% of the variance in the peak value, AUC, DLMO and DLMO-DLMOff duration respectively.

Fortunately, in photon counting applications such as those considered herein, both the random noise in the baseline and noise from variance in the peak heights of the transients are naturally removed through the counting process.

Similar(57)

Analysis of the peak area distributions of the FACE electrophoregrams identified the labeling reaction conditions that resulted in the smallest variances in the peak area distributions while retaining strong fluorescence signals from the capillary-based DNA sequencer.

In a case study of California crop scenarios, the relationships explained 90 95% of the variances in the peak concentrations of dissolved pesticides as predicted by PRZM simulations for a 30-year period.

To assess whether clinical knee pain (i.e., average pain on most days of the month prior to enrolment) predicted variance in the location of peak activation in the motor cortex, independently of any variance explained by accuracy of performance of the force-matching task (log RMS error), stepwise multiple regression analysis was used.

No significant variances in the spectral peak position and energy resolution of the detectors were observed for over a year [18].

This model accounted for 43% and 37% of the total variance of the peak workload (in watts) and of VO2 (in mL) respectively, according to the following regression equations: W = -26.46 + 1.39 (FFM) + 126.85 (IC/TLC rest) and VO2 = -111.8 + 18.2 (FFM) + 1436.1 (IC/TLC rest).

The percentage of contribution to the variance in GH peak for each individual parameter was determined by using the square of the Pearson correlation coefficient (R).

This uncoupling is evidenced by the increased variance in the time-to-peak of the stimulated Ca2+ transient and the increased spark frequency, and a structural basis is suggested by the disruptions to the t-tubule network.

The clinical models explained up to 39percentt of the variance in local peak pressures.

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