2006 IEEE International Symposium on Geoscience and Remote Sensing 2006
DOI: 10.1109/igarss.2006.56
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Non Parametric Statistical Tests for the Analysis of Multiple-sensor Time Series of Remotely Sensed Data

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Cited by 5 publications
(3 citation statements)
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“…Due to space limitation, only some parameters for the first patient are mentioned. In order to evaluate the significance evolution of each parameter, Friedman test (FT) was applied which is a non parametric statistical test, performed on ranks [10]. FT was used to detect differences in treatments across multiple measures attempts.…”
Section: Fig 1 Shows the Time Series Of Qtc Interval Dea Rmmvmentioning
confidence: 99%
“…Due to space limitation, only some parameters for the first patient are mentioned. In order to evaluate the significance evolution of each parameter, Friedman test (FT) was applied which is a non parametric statistical test, performed on ranks [10]. FT was used to detect differences in treatments across multiple measures attempts.…”
Section: Fig 1 Shows the Time Series Of Qtc Interval Dea Rmmvmentioning
confidence: 99%
“…[16], [17], [18], [19], [20] have performed statistical analysis by using the Friedman test for their work.…”
Section: The Nonparametric Testmentioning
confidence: 99%
“…The authors in [18], they used two tests, the Kruskal-Wallis and the Friedman test, to address two significant issues of the analysis of long time series in their work. In order to address issue of overcoming noise uncertainty by exploiting antenna correlation, in [19], the authors presented a Friedman test based spectrum sensing detector which compares the power of the received signals through antennas and consequently it needs no priori information of the noise and the primary signal.…”
mentioning
confidence: 99%