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Power calculations for tests of trend with missing observations

✍ Scribed by Paul Cabilio; Jessica Tilley

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
156 KB
Volume
10
Category
Article
ISSN
1180-4009

No coin nor oath required. For personal study only.

✦ Synopsis

A record of observations which were to be taken over time at regularly spaced intervals, in fact has one or more observations missing. In this framework, it is wished to test for the presence of trend. Using various trend models, empirical power comparisons are conducted using Spearman and Kendall based statistics which either ignore the gaps in the data, or integrate this information in arriving at a measure of trend. For the cases considered, the statistics which use the information on data gaps generally appear to perform as well as, and in many cases substantially better than, the statistics which ignore the presence of missing observations.

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