Journal ArticleDOI
Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia
Milan Gocic,Slavisa Trajkovic +1 more
TLDR
In this article, the authors analyzed the annual and seasonal trends of seven meteorological variables for twelve weather stations in Serbia during 1980-2010 and used the nonparametric Mann-Kendall and Sen's methods to determine whether there was a positive or negative trend in weather data with their statistical significance.About:
This article is published in Global and Planetary Change.The article was published on 2013-01-01. It has received 1020 citations till now. The article focuses on the topics: Trend analysis.read more
Citations
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Seasonal and annual precipitation time series trend analysis in North Carolina, United States
Mohammad Sayemuzzaman,Manoj Jha +1 more
TL;DR: In this article, the spatial and temporal trend analysis of the annual and seasonal time-series of a set of uniformly distributed 249 stations precipitation data across the state of North Carolina, United States over the period of 1950-2009 was performed.
Journal ArticleDOI
Rainfall and river flow trends using Mann–Kendall and Sen’s slope estimator statistical tests in the Cobres River basin
Richarde Marques da Silva,Celso Augusto Guimarães Santos,Madalena Moreira,João Corte-Real,Valeriano Carneiro de Lima Silva,Isabella Cavalcante Medeiros +5 more
TL;DR: In this paper, the authors used the nonparametric Mann-Kendall and Sen's methods to determine whether there was a positive or negative trend in rainfall data with their statistical significance.
Journal ArticleDOI
Spatio-statistical analysis of temperature fluctuation using Mann–Kendall and Sen’s slope approach
Atta-ur-Rahman,Muhammad Dawood +1 more
TL;DR: In this paper, the spatio-statistical analysis of temperature trend using Mann-Kendall trend model (MKTM) and Sen's slope estimator (SSE) in the eastern Hindu Kush, north Pakistan is presented.
Journal ArticleDOI
Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study
Deepak Singh Bisht,Chandranath Chatterjee,Shivani Kalakoti,Pawan Upadhyay,Manaswinee Sahoo,Ambarnil Panda +5 more
TL;DR: In this paper, a two-dimensional MIKE URBAN model is used to overcome the limitation of one-dimensional (1D) SWMM in simulating flood extent and flood inundation.
Journal ArticleDOI
Analysis of precipitation and drought data in Serbia over the period 1980–2010
Milan Gocic,Slavisa Trajkovic +1 more
TL;DR: In this paper, the authors used linear regression, Mann-Kendall and Spearman's Rho tests at the 5% significance level to analyze precipitation and standardised precipitation index (SPI) trends.
References
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Book
An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
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An Introduction to the Bootstrap.
Journal ArticleDOI
Estimates of the Regression Coefficient Based on Kendall's Tau
TL;DR: In this article, a simple and robust estimator of regression coefficient β based on Kendall's rank correlation tau is studied, where the point estimator is the median of the set of slopes (Yj - Yi )/(tj-ti ) joining pairs of points with ti ≠ ti.
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Nonparametric Statistical Methods
Myles Hollander,Douglas A. Wolfe +1 more
TL;DR: An ideal text for an upper-level undergraduate or first-year graduate course, Nonparametric Statistical Methods, Second Edition is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.