R package kerdiest: Nonparametric kernel estimation of the distribution function. Bandwidth selection and estimation of related functions. Nonparametric kernel distribution function estimation is performed. Three automatic bandwidth selection methods for nonparametric kernel distribution function estimation are implemented: the plug-in of Altman and Leger, the plug-in of Polansky and Baker, and the modified cross-validation of Bowman, Hall and Prvan. The exceedance function, the mean return period and the return level are also computed.

References in zbMATH (referenced in 14 articles , 1 standard article )

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  1. Bose, Arup; Dutta, Santanu: Kernel based estimation of the distribution function for length biased data (2022)
  2. Teimouri, Mahdi: EM algorithm for mixture of skew-normal distributions fitted to grouped data (2021)
  3. Phuong, Cao Xuan: Deconvolution of cumulative distribution function with unknown noise distribution (2020)
  4. Barbeito, Inés; Cao, Ricardo: Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation (2019)
  5. Reyes, Miguel; Francisco-Fernández, Mario; Cao, Ricardo; Barreiro-Ures, Daniel: Kernel distribution estimation for grouped data (2019)
  6. Blanke, Delphine; Bosq, Denis: Polygonal smoothing of the empirical distribution function (2018)
  7. Tewes, Johannes: Block bootstrap for the empirical process of long-range dependent data (2018)
  8. Eftekharian, A.; Razmkhah, M.: On estimating the distribution function and odds using ranked set sampling (2017)
  9. Marta Sestelo, Nora M. Villanueva, Luis Meira-Machado, Javier Roca-Pardiñas: npregfast: An R Package for Nonparametric Estimation and Inference in Life Sciences (2017) not zbMATH
  10. Dutta, Santanu: Distribution function estimation via Bernstein polynomial of random degree (2016)
  11. Meneses, Antonio; Naya, Salvador; López-de-Ullibarri, Ignacio; Tarrío-Saavedra, Javier: Nonparametric method for estimating the distribution of time to failure of engineering materials (2016)
  12. Slaoui, Y.: The stochastic approximation method for estimation of a distribution function (2014)
  13. Wang, Jixin; Liu, Yan; Zeng, Xiaohua; Zhou, Zhenping; Wang, Naixiang; Shen, Wanghao: Selection method for kernel function in nonparametric extrapolation based on multicriteria decision-making technology (2013) ioport
  14. Alejandro Quintela-del-Río; Graciela Estévez-Pérez: Nonparametric Kernel Distribution Function Estimation with kerdiest: An R Package for Bandwidth Choice and Applications (2012) not zbMATH