The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
pyMannKendall: a python package for non parametric Mann Kendall family of trend tests.
Open accessAbstract
Trend analysis is one of the most important measurements in studying time series data.Both parametric and non-parametric tests are commonly used in trend analysis.Parametric tests require data to be independent and normally distributed.On the other hand, non-parametric trend tests require only that the data be independent and can tolerate outliers in the data (Hamed & Rao, 1998).However, parametric tests are more powerful than nonparametric ones.
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Citations
Cites
Nonparametric Tests Against Trend
Mann, H. B. (1945) · Econometrica · doi:10.2307/1907187 · Cited by 17,144
Estimates of the Regression Coefficient Based on Kendall's Tau
Sen, P. K. (1968) · Journal of the American Statistical Association · doi:10.1080/01621459.1968.10480934 · Cited by 14,517
A modified Mann-Kendall trend test for autocorrelated data
Hamed, K. H., & Ramachandra Rao, A. (1998) · Journal of Hydrology · doi:10.1016/s0022-1694(97)00125-x · Cited by 3,897
Techniques of trend analysis for monthly water quality data
Hirsch, R. M., Slack, J. R., & Smith, R. A. (1982) · Water Resources Research · doi:10.1029/wr018i001p00107 · Cited by 2,934
The influence of autocorrelation on the ability to detect trend in hydrological series
Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) · Hydrological Processes · doi:10.1002/hyp.1095 · Cited by 2,111
Yue, S., & Wang, C. (2004) · Water Resources Management · doi:10.1023/b:warm.0000043140.61082.60 · Cited by 1,491
Time Series Modelling of Water Resources and Environmental Systems
(1994) · Developments in Water Science · doi:10.1016/s0167-5648(08)x7026-1 · Cited by 1,172
Yue, S., & Wang, C. Y. (2002) · Water Resources Research · doi:10.1029/2001wr000861 · Cited by 878
SOME QUICK SIGN TESTS FOR TREND IN LOCATION AND DISPERSION
COX, D. R., & STUART, A. (1955) · Biometrika · doi:10.1093/biomet/42.1-2.80 · Cited by 462
Performance of partial Mann–Kendall tests for trend detection in the presence of covariates
Libiseller, C., & Grimvall, A. (2002) · Environmetrics · doi:10.1002/env.507 · Cited by 461
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Metadata
- Authors
- Hussain, M., & Mahmud, I.
- Venue
- Journal of Open Source Software
- Publisher
- The Open Journal
- Published
- 2019-07-25
- Volume
- 4
- Issue
- 39
- Pages
- 1556
- ISSN
- 2475-9066 (ISSN-L)
- OpenAlex
- W2963161248
- Cited by
- 782
- References
- 12
- Type
- software paper
- Language
- en
- Open access
- diamond
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- Hussain, M., & Mahmud, I. (2019). pyMannKendall: a python package for non parametric Mann Kendall family of trend tests. Journal of Open Source Software. https://doi.org/10.21105/joss.01556
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