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IID constrains cannot be guaranteed if heterogeneity and similarity problems remain, which may result in the wrong statistic inference.
Spatial scan statistic; inference; data-driven We describe a method to determine the partition of a map consisting of point event data, identifying all the multiple significant anomalies, which may be of high or low risk, thus monitoring the existence of possible outbreaks.
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It is shown that the null distribution of the test statistic is distribution-free, and statistical inference is reasonably robust against possible ranking errors in ranking process.
To analyze these experiments, the limma linear modeling package was used [ 90], which bases statistical inference upon an empirical Bayes moderated t-statistic.
For instance, the teaching of non-parametric hypothesis tests will lead to a deeper understanding of statistical inference in general and specifically the interplay between a test statistic and a sampling distribution.
The G statistic proposed by Goudet et al. [ 74] was taken for statistical inference on global population differentiation.
We are interested in the statistical inference property of the non-centrality parameter estimate based on one observation (usually a summary statistic) from a truncated chi-squared distribution.
It is conceivable that an indicator was described by a specific statistic such as a median because of an underlying non-normal distribution, in order to permit sound statistical inference.
Moreover, all statistical inference on haplotypes was based on simulated P-values, which are expected to be more robust against departure from HWE compared to the asymptotic distribution of the score statistic.
Under the null hypothesis, each statistic has an asymptotic normal distribution when the sample size is sufficiently large, and can therefore be used for making statistical inferences.
For many large complex surveys the Rao Scott corrections to the standard chi-squared (or likelihood ratio) statistic provide appropriate inference.
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