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This is reflected in the thickness estimates which show increasing variance with the degree of corrosion.
For some variables residual plots showed an increasing variance with increasing predicted values.
If PCR data is not LOG transformed, one tends to see an opposite, counterintuitive trend: i.e. increasing variance with higher relative quantity means – which is definitely not true as many qPCR investigators can certainly attest to (2, 29, 30, 43).
We think this is most likely due to the fact that the evolvability index is the product of two variables, at least one of which (i.e., the proportion of sites under positive selection) is very likely to be binomially distributed and thus have increasing variance with increasing magnitude.
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If random noise is added to a process that generates a sidedness bias, the prediction is that the distribution will show increased variance, with an increased number of cases at either extreme.
We observe that each time series has increased variance, with a few pronounced negative time periods, and trending positive towards the end of the corpus.
Regression analysis for each of the data sets confirm the increased variance with correlation coefficients of r = 0.872 for activated samples, r = 0.936 for replicate samples and r = 0.963 for self/self sample data sets.
Data were log10 transformed prior to analysis due to increasing variance of residuals with increasing energy consumed.
We assumed that SMUP variance would increase with increasing force, as larger units are sequentially activated with increasing variance, and modeled variance as a power function in relationship to the percent of effort [ 33].
emBayesR is an approximate EM algorithm that retains the BayesR model assumption with SNP effects sampled from a mixture of normal distributions with increasing variance.
Note that f is a weighted sum of zero-mean Gaussians with increasing variance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com