On relationships between the Pearson and the distance correlation coefficients
Author
Abstract
Suggested Citation
DOI: 10.1016/j.spl.2020.108960
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Dueck, Johannes & Edelmann, Dominic & Richards, Donald, 2017. "Distance correlation coefficients for Lancaster distributions," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 19-39.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Yan Tang & Rui Xu & Mengfan Xie & Yusu Wang & Jian Li & Yi Zhou, 2022. "Spatiotemporal Evolution and Prediction of AOT in Coal Resource Cities: A Case Study of Shanxi Province, China," Sustainability, MDPI, vol. 14(5), pages 1-15, February.
- Wang, Chengcheng & Yang, Hui & Tong, Lige & Nie, Binjian & Zou, Boyang & Guo, Wei & Wang, Li & Ding, Yulong, 2023. "Numerical investigation of a shell-and-tube thermochemical reactor with thermal bridges: Structurale optimization and performance evaluation," Renewable Energy, Elsevier, vol. 206(C), pages 1212-1227.
- Hossam Fraihat & Amneh A. Almbaideen & Abdullah Al-Odienat & Bassam Al-Naami & Roberto De Fazio & Paolo Visconti, 2022. "Solar Radiation Forecasting by Pearson Correlation Using LSTM Neural Network and ANFIS Method: Application in the West-Central Jordan," Future Internet, MDPI, vol. 14(3), pages 1-24, March.
- Guize Luan & Fei Zhao & Yanwen Jia & Jisheng Xia & Yao Yan & Yutong Wang & Ziyu Huang & Sujin Zhang, 2022. "Market Analysis of Characteristic Agricultural Products from the Perspective of Multi-Source Data: A Case Study of Wild Edible Mushrooms," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
- Chibuike Chiedozie Ibebuchi & Itohan-Osa Abu & Clement Nyamekye & Emmanuel Agyapong & Linda Boamah, 2023. "Utilizing Machine Learning to Examine the Spatiotemporal Changes in Africa’s Partial Atmospheric Layer Thickness," Sustainability, MDPI, vol. 16(1), pages 1-13, December.
- Qiang Tong & Donghui Li & Xin Ren & Hua Wang & Qing Wu & Li Zhou & Jiaqi Li & Honglu Zhu, 2023. "Classification Method of Photovoltaic Array Operating State Based on Nonparametric Estimation and 3σ Method," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
- Khasanov, Sayidjakhon & Li, Fadong & Kulmatov, Rashid & Zhang, Qiuying & Qiao, Yunfeng & Odilov, Sarvar & Yu, Peng & Leng, Peifang & Hirwa, Hubert & Tian, Chao & Yang, Guang & Liu, Hongguang & Akhmato, 2022. "Evaluation of the perennial spatio-temporal changes in the groundwater level and mineralization, and soil salinity in irrigated lands of arid zone: as an example of Syrdarya Province, Uzbekistan," Agricultural Water Management, Elsevier, vol. 263(C).
- Abdulrahman A. Alghamdi & Abdelhameed Ibrahim & El-Sayed M. El-Kenawy & Abdelaziz A. Abdelhamid, 2023. "Renewable Energy Forecasting Based on Stacking Ensemble Model and Al-Biruni Earth Radius Optimization Algorithm," Energies, MDPI, vol. 16(3), pages 1-30, January.
- Tianqi Zhang & Yue Zhou & Ming Li & Haoran Zhang & Tong Wang & Yu Tian, 2022. "Impacts of Urbanization on Drainage System Health and Sustainable Drainage Recommendations for Future Scenarios—A Small City Case in China," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
- Zhang, Qingsong & Sun, Jiahao & Dai, Changlei & Zhang, Guangxin & Wu, Yanfeng, 2024. "Sustainable development of groundwater resources under the large-scale conversion of dry land into rice fields," Agricultural Water Management, Elsevier, vol. 298(C).
- Jacek Czyżewicz & Piotr Jaskólski & Paweł Ziemiański & Marian Piwowarski & Mateusz Bortkiewicz & Krzysztof Laszuk & Ireneusz Galara & Marta Pawłowska & Karol Cybulski, 2022. "Towards Designing an Innovative Industrial Fan: Developing Regression and Neural Models Based on Remote Mass Measurements," Energies, MDPI, vol. 15(7), pages 1-19, March.
- Kai Zhang & Shunjie Wang & Shuyu Liu & Kunlun Liu & Jiayu Yan & Xuejia Li, 2022. "Water Environment Quality Evaluation and Pollutant Source Analysis in Tuojiang River Basin, China," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
- Hongguo Ren & Lei Zhang & Jing Zhang & Xue Wang & Qingqin Wang, 2024. "Exploration of a Rural Street Environment: The Difference in Sight between Villagers and Tourists," Sustainability, MDPI, vol. 16(7), pages 1-16, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.More about this item
Keywords
Distance correlation; Pearson correlation; Distance covariance; Mixture distribution; Rademacher distribution;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:169:y:2021:i:c:s0167715220302637. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.