Rank Correlation Methods

Govindarajulu, Z.; Kendall, Melissa M.; Gibbons, Jean Dickinson

doi:10.2307/1269571

Cited by 215 publications

(104 citation statements)

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“…We used the Kendall tau rank correlation coefficient [1], [21], which can quantitatively measure a feature’s relevance to classification, to produces a subset of the original features. Then, an LLE-based dimensionality reduction was performed to find a low-dimensional representation of the abnormal resting-state functional connectivity patterns in ASPD patients in contrast to controls.…”

Section: Discussionmentioning

confidence: 99%

“…It has been verified that through the relevance of a feature to classification, the identifiable power of the feature can be quantitatively measured [20]. In this study, we used the Kendall tau rank correlation coefficient [1], [21] to select a feature subset. The Kendall tau rank correlation coefficient provides a distribution-free test of independence between two variables and measures the relevance of each feature of classification [6].…”

Section: Methodsmentioning

confidence: 99%

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Identifying Individuals with Antisocial Personality Disorder Using Resting-State fMRI

et al. 2013

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Antisocial personality disorder (ASPD) is closely connected to criminal behavior. A better understanding of functional connectivity in the brains of ASPD patients will help to explain abnormal behavioral syndromes and to perform objective diagnoses of ASPD. In this study we designed an exploratory data-driven classifier based on machine learning to investigate changes in functional connectivity in the brains of patients with ASPD using resting state functional magnetic resonance imaging (fMRI) data in 32 subjects with ASPD and 35 controls. The results showed that the classifier achieved satisfactory performance (86.57% accuracy, 77.14% sensitivity and 96.88% specificity) and could extract stabile information regarding functional connectivity that could be used to discriminate ASPD individuals from normal controls. More importantly, we found that the greatest change in the ASPD subjects was uncoupling between the default mode network and the attention network. Moreover, the precuneus, superior parietal gyrus and cerebellum exhibited high discriminative power in classification. A voxel-based morphometry analysis was performed and showed that the gray matter volumes in the parietal lobule and white matter volumes in the precuneus were abnormal in ASPD compared to controls. To our knowledge, this study was the first to use resting-state fMRI to identify abnormal functional connectivity in ASPD patients. These results not only demonstrated good performance of the proposed classifier, which can be used to improve the diagnosis of ASPD, but also elucidate the pathological mechanism of ASPD from a resting-state functional integration viewpoint.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Identifying Individuals with Antisocial Personality Disorder Using Resting-State fMRI

et al. 2013

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“…The Mann-Kendall trend test is based on the correlation between the ranks of a time series and their time order. For more information, readers are referred to Belle and Hughes (1984) and Govindarajulu (1992). Ranking is performed using the test statistics (z-value) at the given significance level (95% in this case).…”

Section: Univariate Statisticsmentioning

confidence: 99%

Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis

Ahmadalipour

Rana

Moradkhani

et al. 2015

Theor Appl Climatol

111

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“…Mann (1945) and M.G. Kendall (1990) can handle non-normal and censored data [45], and is widely used to assess the significance of monotonic trends in hydro-meteorological time series [46,47]. We therefore performed M-K testing using the average hydrological data values for the dry season of January-March and October-December from 1986-2018 in MATLAB R2014a (MathWorks Company, the United States).…”

Section: Methodsmentioning

confidence: 99%

Long-Term (1986–2018) Evolution of Channel Bars in Response to Combined Effects of Cascade Reservoirs in the Middle Reaches of the Hanjiang River

Zhang

Cai

Yang

et al. 2019

Water

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Channel bars are essential landforms and their evolution is crucial to aquatic and riparian biodiversity, river’s water-sediment process, and economic development. With the development of water conservation facilities and hydropower projects, numerous changes have been taken place in hydrological regimes and morphology. There have been many changes on channel bars in the middle reaches of Hanjiang River due to the combined effects of cascade reservoirs. However, little was known about such dynamics and their linkages to cascade dams across the entire downstream area. Using Landsat remote sensing images from 1986–2018 and the threshold binary Otsu extraction method, this study completed comprehensive monitoring of nine mid-channel bars (DX1–DX7, XZ1, and XZ2), and three shoal group (XZ3–XZ5) dynamics. Results showed that the mid-channel bars’ area in the reach from Danjiangkou to Xiangyang (DX) decreased over the past 33 years, with the exception of DX4, while the total area decreased by 23.19%, this channel bars’ area change was mainly influenced by backwater from the Cuijiaying Reservoir with high water level after 2010 (r = −0.93, p < 0.01). The total channel bar area from Xiangyang to Huangzhuang (XZ) decreased by 16.63% from 1986 to 2018. The total channel bar area in XZ had a strong negative correlation with runoff at Huangzhuang hydrologic station (r = −0.79, p < 0.05), which was partly attributed to upstream precipitation according to the high correlation between runoff and precipitation (R2 = 0.65). In general, the DX section was under equilibrium between scouring and deposition compared to downstream Xiangyang, the bars in DX section were mainly affected by water level, and bars in XZ section during 1986–2018 were complicated because it was upstream eroded and downstream deposited. In addition, vegetation cover, revetments, flood events, sand mining, land use, and over-exploitation may cause channel bar area dynamics. Hence, more continuous investigations are suggested to focus on effects of cascade reservoir operation on hydrological regime, as well as the changing morphology of channel bars in the middle reaches of the Hanjiang River.

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Rank Correlation Methods

Cited by 215 publications

References 0 publications

Identifying Individuals with Antisocial Personality Disorder Using Resting-State fMRI

Identifying Individuals with Antisocial Personality Disorder Using Resting-State fMRI

Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis

Long-Term (1986–2018) Evolution of Channel Bars in Response to Combined Effects of Cascade Reservoirs in the Middle Reaches of the Hanjiang River

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