Briefly, for estimation of MDA levels, 0.2 mL of homogenate was taken and mixed with 0.2 mL of sodium lauryl sulphate, 1.5 mL acetic acid in HCl, 1.5 mL thiobarbituric acid, and 0.6 mL distilled water.
Briefly, an estimation of arsenic concentrations from past residences on public well water supplies relied on data that were extracted from the Michigan state arsenic database and via the contact of specific municipality within the study area where the participant reported a prior residency.
Then, in section 5, we briefly discuss our estimation methods as well as the framework necessary to understand the estimated person and firm components of the inter‐industry wage differentials and relate them to the literature.
In this section, we will briefly outline the estimation process.
In this section we briefly consider parameter estimation by maximum likelihood, as first devised by Fisher (1956).
The paper briefly describes nonlinear estimation problem and its general solution using the Bayesian approach leading to the Bayesian recursive relations.
In this section we briefly review phylogenetic estimation.
Briefly, anatomical likelihood estimation models peak lesion coordinates using 3D Gaussian kernels, with their width defined according to the sample size included.
Section 3 briefly describes the nonparametric estimation by wavelet shrinkage and addresses the optimization of the SigShrink parameters with respect to the new SURE approach described in [3].
In the following, we will briefly describe our depth estimation method as well as the main differences between our method and the method of [5].
