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We derive a restricted maximum likelihood (ReML) algorithm that estimates the variance of the noise for each image in the time series.
bias (b dcv ) estimates the bias term of the regression vector estimates whereas var (b dcv ) reflects random influences and estimates the variance of the regression vector estimates.
Our statistical approach first estimates the variance, or measurement noise, for each input sample in the raw image using a noise model.
A well suited method is the Minimum Covariance Determinant (MCD) that considers all subsets containing h% of the observations and estimates the variance of the mean on the data of the subset associated with the smallest covariance matrix determinant - we implement the Rousseeuw and van Driessen algorithm [54].
First, the denominator of the t-statistic, which estimates the variance of the comparison, is known to be less accurate when there is not much replication.
QTLRel estimates the variance scaling factor for the kinship correction for each phenotype.
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DESeq is a R bioconductor package which estimates the variance-mean dependence in count data from high-throughput sequencing assays, normalizes the count data for library sizes and dispersion, and tests for differential expression based on a model using the negative binomial distribution.
The LNA estimates the variances of the species abundances and the covariances between them.
We used the jackknife estimator [ 26] to estimate the variance of the fluidity estimator Var.
We estimate the variance of noise using motion estimation.
Hence, we can estimate the variance factors.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com