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In practice, the autocorrelation matrix is estimated as a sample average of the received signal snapshots.
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The "method of the mean" is moment-based, whereby the mutation rate is estimated as a function of the sample mean of the number of mutants.
The Luria Delbruck method is moment-based, whereby the mutation rate is estimated as a function of the sample mean of the number of mutants.
Copy number is estimated as a log-sum of the normalized sample allele signals (S) against those of the reference set (R): Log Ratio = log 2 (S a/(R a+R b) + S b/(R a+R b)) where a and b refer to the alternative SNP alleles.
The prevalence of CMP was estimated as a single sample proportion.
The molarity of the DNA library was estimated as described on the sample preparation protocol (Illumina): MW of the library = S (Median size of the library) x 650.
Models were estimated as follows, including (1) a time-level sampling model, (2) a time-level link function, and (3) the structural model [ 34].
For instance, the sample mean of the correlated partition, μ c, can be estimated as, where is the weighted number of correlated samples.
Cholesterol concentration was estimated as: bilirubin (mg per 100 mg)=10 × OD (Sample)/OD (standard reference).
Enrichments were estimated as a ratio of copy number in ChIP samples to the copy number in the input sample.
The repeatability was defined as: All parameters were estimated with the same Gibbs sampler as the first underlying model and g was estimated as a fixed effect.
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