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Like data noise, missing data led to increased inaccuracy of the parameter estimates, regardless of the estimation methods.
Because both files provide an estimate of THM exposure in the 30-year exposure time window (ETW) ending 3 years before interview, we compared the estimates to document the similarity of the estimation methods.
It is critical that the estimation methods provide accurate estimations and an accurate estimate of the associated uncertainty.
More recent efforts have focused upon the need to determine better standards for making storage capacity estimates and to establish some uniformity in the estimation methods.
If the between group contrast is increased, the estimators get less biased for all methods but the pattern of bias among the estimation methods is similar to that of the case with the small between-group contrast.
Besides, the estimation methods in Sections 3.1 and 3.2 can be used to estimate the parameters of LFM signal intercepted by the NYFR in one NZ as well.
The insight gained is consistent over the estimation methods employed.
The validity and prediction accuracy of the estimation methods for z0 are examined and discussed.
The estimation methods presented will be helpful for designing dynamic processes.
Moreover in some publications the estimation methods are explained in very vague terms thereby making a duplication of the results almost impossible.
However the estimation methods demand assumptions about relative capture probability that may not hold well for gregarious animals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com