Sentence examples for level of variance of from inspiring English sources

Outliers can increase the level of variance of the model parameters (Yang et al. 2011), can reduce the model performance by biasing parameter estimates, and can lead to false conclusion.

It may be that cell divisions, which are reduced in dachs mutants, disrupt the appearance of asymmetry, possibly explaining the high level of variance of asymmetry of Dachs, Ft and Ds in WT tissue.

Moreover, the high levels of variance of the time component indicate that ENMs were able to get the effects of climate changes from the T. aurea distributional dynamics throughout the last glacial cycle, despite some methodological noise.

Although there was a high level of variance for the plot survey estimates of aboveground production, CASA predicted the measured mean value within about 10% across a wide variety of grassland ecosystems types in YNP.

They collect sensor data and extract features; Fuzzing of data by inserting Gaussian noise in data at a certain level of variance to lower the chance of eavesdropping and sniffing attacks; Segregation by splitting data into blocks and shuffling them to avoid Man-in-the-Middle (MITM) attacks; Implementing Public Key Inforstructurencryptingypting each data block; and.

Women had more variability in their post-op disability (SD: 26) which was more consistent with their pre-op level of disability (17% of variance of post-op WORC was explained by the pre-op WORC in women vs. 3% in men).

The average intensity level and CV (coefficient of variance) of the HKG orthologs are both comparable to their counterparts in human, suggesting that the expression pattern of HKGs is conserved among mammalian species and those HKGs in human are likely to be HKGs in other mammals.

We found, for each age- and sex-defined group, that BMD was normally distributed within each blood lead level tercile; further, there was homogeneity of variance of the BMD between each blood lead level tercile.

The F values and significance levels resulting from and analysis of variance of these data appear in Tables 4, 5, and 6.

However, since using the two distance-based features can provide a higher level of variance over most of the datasets, they are all together considered in this article as the main research focus.

Before examining the classification performance, PCA [24] is used to analyze the level of variance (i.e., discrimination power) of the proposed distance-based features.