Penalized Maximal t Test for Detecting Undocumented Mean Change in Climate Data Series
By Xiaolan L. Wang, Qiuzi Han Wen, Yuehua Wu. 2007
365 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8acf68d031974c22471a5a5f2f6e59abb14df60a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- P. Domonkos
- Xiaolan L. Wang
- Ceylan Yozgatlıgil
- Ceyda Yazici
- G. Fioravanti
- E. Piervitali
- F. Desiato
- Yani Zhu
In Statistics and Probability
- Xiaolan L. Wang
- P. Domonkos
- G. Fioravanti
- E. Piervitali
- F. Desiato
- Ceylan Yozgatlıgil
- Ceyda Yazici
- Yuehua Wu
Citations in the corpus
- New Techniques for the Detection and Adjustment of Shifts in Daily Precipitation Data Series (2010, methodology): “Many changepoint detection methods have been developed (Wang et al. 2007; Wang 2003, 2008a,b; Vincent 1998; Alexandersson 1986; among many others).”
- Comparison of homogeneity tests for temperature using a simulation study (2016, methodology): “Their simulation study shows that GAHMDI performs better than Caussinus and Mestre (2004), the SNHT (Alexandersson and Moberg, 1997) and the RHTest (Wang et al., 2007; Wang 2008a, 2008b).”
- Recent changes of temperature extremes over Italy: an index-based analysis (2016, methodology): “Each annual maximum and minimum temperature time series was tested using the penalized t test (Wang et al. 2007).”
- Comparison of two homogenized datasets of daily maximum/mean/minimum temperature in China during 1960–2013 (2016, methodology): “This package includes two algorithms: the PMTred algorithm based on the penalized maximum t (PMT) test (Wang et al., 2007), and the PMFred algorithm based on the penalized maximum F (PMF) test (Wang, 2008a, b).”
- Efficiency evaluation for detecting inhomogeneities by objective homogenisation methods (2011, methodology): “The seven methods are the: Multiple Linear Regression (MLR, Vincent 1998), Penalised Maximal t test (PMT, Wang et al. 2007), Standard Normal Homogeneity Test for shifts only (SNH, Alexandersson 1986), Standard Normal Homogeneity Test for shifts and trends (SNHT, Alexandersson and Moberg 1997), t…”
- Accounting for Autocorrelation in Detecting Mean Shifts in Climate Data Series Using the Penalized Maximal t or F Test (2008, methodology): “This is exactly the data used by Wang et al. (2007) as an example of application of the PMT and SNH tests.”