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Wartenberg's coefficient is a measure of correlation developed by epidemiologist Daniel Wartenberg. [1] This coefficient is a multivariate extension of spatial autocorrelation that aims to account for spatial dependence of data while studying their covariance. [2] A modified version of this statistic is available in the R package adespatial. [3]
Wartenberg's sign is a neurological sign consisting of involuntary abduction of the fifth (little) finger, caused by unopposed action of the extensor digiti minimi. [ 1 ] [ 2 ] This commonly results from weakness of some of the ulnar nerve innervated intrinsic hand muscles -in particular the palmar interosseous muscle to the little finger ...
The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald [1] and later proven to be optimal by Wald and Jacob Wolfowitz. [2] Neyman and Pearson's 1933 result inspired Wald to reformulate it as a sequential analysis problem.
These include Wartenberg's migratory sensory neuropathy, Wartenberg's sign, Wartenberg’s syndrome, and the Wartenberg wheel. [4] Wartenberg is sometimes incorrectly credited as the inventor of the Wartenberg wheel. [15]. According to Wartenberg, this device, used to test skin sensitivity, was in widespread use in Europe when he lived in ...
The white and black squares are perfectly dispersed so Moran's I would be −1 using a Rook neighbors definition. If the white squares were stacked to one half of the board and the black squares to the other, Moran's I approaches +1 as N increases.
The mattress is down to $899 today in its Queen size, a savings of nearly $500 from its retail price. Ahead of Presidents' Day, you can also get a free mattress protector, sheet set, and pillow ...
The Wald–Wolfowitz runs test (or simply runs test), named after statisticians Abraham Wald and Jacob Wolfowitz is a non-parametric statistical test that checks a randomness hypothesis for a two-valued data sequence. More precisely, it can be used to test the hypothesis that the elements of the sequence are mutually independent.
In statistics, the Page test for multiple comparisons between ordered correlated variables is the counterpart of Spearman's rank correlation coefficient which summarizes the association of continuous variables. It is also known as Page's trend test or Page's L test. It is a repeated measure trend test. The Page test is useful where: