In this paper two nonparametric tests for monotonic trend detection are compared with respect to their power and accuracy. The importance of comparing powers at equal empirical signiicance levels rather than nominal levels, is stressed. Therefore, an appropriate graphical method is presented. The eeect of the sampling frequency is also assessed using a trajectory representation that visualizes ...

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...

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...

While in an earlier commentary (Honing & Ladinig, 2008) we stressed the potential of Web-delivered experiments for music perception research, the ongoing discussion on Web-based versus lab-based studies seems to circle around issues of method and control (Mehler, 1999; Kendall, 2008). We agree with the importance of these issues from a methodological point of view. However, we continue to stres...

introduction: studying long-term trend changes of meteorological parameters is one of the routine methods in atmospheric studies, especially in the climate change subject. among the meteorological parameters, temperature is always considered as one of the most atmospheric elements and studying it in order to gain a better understanding of the climate change phenomenon, has been effective. in ad...

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...