Assuming normality, to estimate the variance, skewness and kurtosis of the population based on the cases in the range of μ ± δσ in a sample for certain values of δ > 0. Without lost of generality, let μ = 0. Let v ′ 2 = ∫ − δ σ + δ σ x 2 φ (x ; σ ) d x, where φ (x; σ) is the normal probability distribution function with mean 0 and variance σ.
When a sample of a certain size has been gathered in this way, the proportion of legitimate versus malicious nodes is estimated, and the SVM model corresponding to that estimate is used for future classifications.
Records for all uncertain matches from the linkage process and a sample of 'certain' matches and non-matches underwent clerical review by linkage officers at the CHeReL, and approximately 0.4% false-positive and less than 0.5% false-negative linkages were reported.
The markup to recognize an input XML is a sample of that input; certain fields are replaced with special tags to match variables against text or subtrees within the input XML.
The European Injury Database (IDB) is hosted by the European Commission and reports summarised data from a sample of hospitals in certain European countries [ 18].
Two control groups were selected: (1) from records of hospital pathology departments, a sample of 113 women with certain benign conditions of the vulva; (2) through random digit dialing, a sample of 212 women from the general population of these counties.
These allow health systems to report on a sample of facilities that provide a certain service or have health workers trained in specific skills, but are not routine reporting mechanisms.
Two strategies could be envisaged to counter a potential loss of genetic diversity in AMF, either a selective sampling of certain nucleotypes from the overall population, or random selection coupled with a mechanism to ensure that spores contain adequate numbers of nuclei.
As there are only a few samples of certain tissue types, we could not assess the potential existence of tissue-specific ultrastable CpGs.
The belongingness of a sample to a certain group is indicated using a categorical dependent variable, y.
Specifically, this means that when the tumor probability of a sample in a certain cell is predicted, all the samples taken from that cell are omitted when the model is fitted.
