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The Kendall rank coefficient is often used as a test statistic in a statistical hypothesis test to establish whether two variables may be regarded as statistically dependent. This test is non-parametric , as it does not rely on any assumptions on the distributions of X or Y or the distribution of ( X , Y ).
If the trends have other shapes than linear, trend testing can be done by non-parametric methods, e.g. Mann-Kendall test, which is a version of Kendall rank correlation coefficient. Smoothing can also be used for testing and visualization of nonlinear trends.
It has also been called Sen's slope estimator, [1] [2] slope selection, [3] [4] the single median method, [5] the Kendall robust line-fit method, [6] and the Kendall–Theil robust line. [7] It is named after Henri Theil and Pranab K. Sen , who published papers on this method in 1950 and 1968 respectively, [ 8 ] and after Maurice Kendall ...
Maurice Kendall was born in Kettering, Northamptonshire as the only child of engineering worker John Roughton Kendall and Georgina, née Brewer.His paternal grandfather was a publican, running The Woolpack at Kettering.
Nonparametric statistics is a type of statistical analysis that makes minimal assumptions about the underlying distribution of the data being studied. Often these models are infinite-dimensional, rather than finite dimensional, as in parametric statistics. [1]
In statistics, the Cochran–Mantel–Haenszel test (CMH) is a test used in the analysis of stratified or matched categorical data.It allows an investigator to test the association between a binary predictor or treatment and a binary outcome such as case or control status while taking into account the stratification. [1]
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His first wife was Beverly Mann. [14] They divorced in 1957 [14] His second wife was Linda Mann. [15] They divorced in 1973. [14] [15] His third wife was Susan Kendall; [16] they divorced in 1997. [14] In 2004, he married his fourth wife, Claude Mann. [17] Mann died on February 25, 2016, of natural causes in Las Vegas, Nevada at the age of 90. [2]