An alternative way of presenting error distributions
is to report errors at certain points on the distributions.
The question of error distribution
with respect to the values of predicted PBI is now considered.
Given the unpredictable nature of random measurement error, 1 have plotted three different theoretical measurement error distributions
for Hgb concentrations of 10 g/dL, 10.
Five out of the six candidate models describing male morphological measurements and secondary sexual characteristics obtained a better fit with the log-normal error distribution
for all sample sites (Table 4).
The central premise of this paper is that the uncertainty in this estimate is better characterized by identifying a certain number of days in the pre-retrofit that closely match the specific values of the regreesor set for the postretrofit day j and then determining the error distribution
from this set of days.
This approach is easy to implement and shall provide nice results by shifting the hedging error distribution
The first two tests are based on estimators Quasi-Residuals technique while the last test based on estimators of the variance of the error distributions
The error distribution
for measuring boards had a nearly flat mode about 5-mm wide because shell heights are automatically truncated by measuring boards to the next lowest 5-mm shell-height bin.
The number of arguments [xi] of the approximation function corresponding to the number of factors that have a maximum effect on the error, is determined by an empirical error distribution
analysis in accordance with histograms defined by the equation
Normal error distribution
verification is the first test.
These interpolated heights were compared to the actual value for each location, and the error distribution
This pattern indicates that an error distribution
with heavier tails might be more appropriate given the data (Weisberg 1985).
Further, since decisions are made in sequence and the underlying model assumes that people can make errors, the calculation of posteriors requires a consideration of the error distribution
for all previous rounds.
Findings support the use of a more generalized error distribution
Even if we posit an error distribution
Pr(x [where] [x.