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Convergence rate of perturbed empirical distribution functions
Journal of Applied Probability, 1979Given an i.i.d. sequenceX1,X2, … with common distribution function (d.f.) F, the usual non-parametric estimator ofFis the e.d.f.Fn;whereUois the d.f. of the unit mass at zero. Anadmissible perturbation of the e.d.f., say, is obtained ifUois replaced by a d.f., whereis a sequence of d.f.'s converging weakly toUo.Suchperturbed e.d.f.′s arise quite ...
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On Empirical Distribution Functions Under Auxiliary Information
2017Being the nonparametric maximum likelihood estimator, the classical empirical distribution function is the estimator of choice for a completely unknown distribution function. As shown by Qin and Lawless in (Ann Statist 22:300–325, 1994), in the presence of some nonparametric auxiliary information about the underlying distribution function the ...
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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Methods Based on the Empirical Distribution Function
2009In this chapter a very wide class of statistical tests based on the empirical distribution function (EDF) is introduced. Among these tests we find some old tests, as the Kolmogorov-Smirnov test, but also in recent years new tests have still been added to this class. A discussion on the EDF and empirical processes has been given in Sections 2.1 and 2.2.
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On The Emperical Distribution Function
The Egyptian Statistical Journal, 1970openaire +2 more sources
Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
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Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
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American Cancer Society Head and Neck Cancer Survivorship Care Guideline
Ca-A Cancer Journal for Clinicians, 2016Nader Sadeghi +2 more
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