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Antibiotic mobility in soil has been traditionally estimated using the octanol-water partition coefficient (Kow): K ow = Solute octanol Solute water.
Additive genetic variance has been traditionally estimated using phenotypic records and pedigree information with likelihood-based or Bayesian methods [ 16, 22– 26], but in the genomic era, one can usually estimate the substitution effect of an allele at some known locus and use an estimate of 2 p q α as the additive variance contributed by that locus, if Hardy-Weinberg equilibrium holds.
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Animal abundance is traditionally estimated using methods based on visual observations.
The reliability of over-year storage reservoirs has been traditionally estimated by using Monte Carlo simulation (behavior analysis), numerical solution of the stochastic reservoir equation (difference or integral equations), or by using approximations and empirical relationships.
The ZIP regression model has been developed and utilized to handle data of this type, and is traditionally estimated by using maximum likelihood.
Net survival has traditionally been estimated using relative survival; the ratio of all-cause survival to expected survival.
Traditionally, STRFs have been estimated using normalized-reverse correlation (NRC), a method that uses an approximation to the stimulus covariance matrix to obtain regularized estimates.
Traditionally, F has been estimated using known pedigrees (Fped), typically using a path coefficient method developed by Wright (1922).
Traditionally, recombination has been estimated using pedigree-based or sperm-typing methods, by directly counting the products of meiosis (Hubert et al. 1994; Brown et al. 1998).
Traditionally, LSI between items has been estimated using marginal frequencies in 2 x 2 contingency tables.
More traditionally, wind exposure is estimated using topographic exposure indices.
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