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Kernel density estimation was used to map the cumulative incidence risk/km (Technical Appendix).
STATA bootstrap estimation was used to estimate 95% confidence intervals.
Maximum likelihood estimation was used to estimate the parameters.
The method of pseudolikelihood estimation was used to estimate the models.
9 Maximum likelihood estimation was used to estimate single-factor summary scores for general cognitive abilities (fluid and crystallised).
Kernel density estimation was used to estimate and map spatial variation in disease risk (Bithell 1990; Kelsall and Diggle 1995).
A conservative approach of interval estimation was used to estimate the dispersion of the fold-change values.
Method of moments estimation was used to obtain estimates of variance components for mixed models [ 20].
Absolute magnitude estimation was used for making judgments.
Variance component estimation was used to determine the source of phenotypic variation in the chromosomal area of interest.
Here, the parametric bispectrum estimation was used to analyze the cylinder head vibration signal.
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