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To allow comparison with the EARS algorithms, the negative binomial cusum was evaluated with the baseline mean estimated using just 7 days of baseline data.
Missing genotypes were filled in using the breed mean, estimated using a least squares regression on breed proportions as Romney, Coopworth, Perendale, Texel and other, to generate allele frequencies for each SNP within breed.
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There were no trends over the 12 years in the birth weight means estimated using this particular data.
Descriptive statistics were calculated and the weighted mean was estimated using the estimated marginal mean function in SPSS.
The mean value of those connectivity distributions tallies with the corresponding mean values estimated using the standard methodology of Seaton.
The monthly mean is estimated using TEC data during the international quiet days of each month.
We next compared the mean RPR, estimated using the BLUP values, of individuals with and without H127R alleles using a two-sample t-test.
Differences between groups mean were estimated using one-way analysis of variance (ANOVA) followed by the Student-Newman-Keuls test for all pairwise comparisons.
The estimates are considered reliable if the 95% credible intervals of the rate estimated with the randomized data sets does not include the mean rate estimated using the correct sampling times [ 35, 36].
The distribution of blood lead concentrations about this geometric mean is estimated using a geometric standard deviation, typically 1.6, derived from the analysis of well-conducted community blood studies.
$$\end{document} ≈ x min 2 + 2 x Q 1 2 + 2 x m e d 2 + 2 x Q 3 2 + x max 2 16 + x Q 1 x min + x m e d + x Q 3 x m e d + x max 8 − x ¯ 2. Note that in Eq. (6), the third term is the squared value of mean estimate using Eq. (4).
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