منابع مشابه
Jayanthi Kumar, Elizabeth Kendall
This paper outlines a new approach to determining the effect of part complexity on the cost of manufacturing a composite part. It also describes a methodology for predicting cost based on complexity that uses the techniques of Method Time Measurement (MTM). The proposed methodology offers a relatively simple method to predict the fabrication time of a complex component. It is based on the theor...
متن کاملEdward Calvin Kendall.
E Kendal l was b o r n o n 8 t h M a r c h 1886 in South Norwalk, Connecticut, USA. Kendall obtained the degrees of Bachelor of Science in 1908, Master of Science in 1909, and Ph. D. in Chemistry in 1910. From 1910-1911 he worked as a research chemist with Parke Davis where his main task was to isolate thyroid hormones.1 He continued to work on thyroid harmones till 1914 while working at St. Lu...
متن کاملThe Kendall Rank Correlation Coefficient
The Kendall (1955) rank correlation coefficient evaluates the degree of similarity between two sets of ranks given to a same set of objects. This coefficient depends upon the number of inversions of pairs of objects which would be needed to transform one rank order into the other. In order to do so, each rank order is represented by the set of all pairs of objects (e.g., [a,b] and [b,a] are the...
متن کاملMann-Kendall for autocorrelated data
The Mann-Kendall test is a commonly-used nonparametric test for time trend. However, the standard P-values obtained from it are based on an assumption of independence between observations (since the theory is that of the Kendall correlation). However, observations in time series are often autocorrelated: knowing that one observation is larger than the mean may tell you that the next observation...
متن کاملAppendix: Mann-Kendall Trend Tests
Kendall Rank Correlation Let (X1, Y1), · · · , (Xn, Yn) be a bivariate random sample of size n. The Pearson correlation coefficient provides an optimal measure of the degree of association between the X’s and the Y ’s when the sample is drawn from a bivariate normal distribution. The Pearson correlation coefficient is reasonably robust for many other distributions as well. The Kendall correlati...
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ژورنال
عنوان ژورنال: Physics Today
سال: 2000
ISSN: 0031-9228,1945-0699
DOI: 10.1063/1.4808479