Smoothed jackknife empirical likelihood inference for ROC curves with missing data
نویسندگان
چکیده
منابع مشابه
Smoothed jackknife empirical likelihood method for ROC curve
In this paper we propose a smoothed jackknife empirical likelihood method to construct confidence intervals for the receiver operating characteristic (ROC) curve. By applying the standard empirical likelihood method for a mean to the jackknife sample, the empirical likelihood ratio statistic can be calculated by simply solving a single equation. Therefore, this procedure is easy to implement. W...
متن کاملSmoothed jackknife empirical likelihood method for tail copulas
In this paper we propose a smoothed jackknife empirical likelihood method to construct confidence intervals for tail copulas or tail dependence functions for bivariate extremes. By applying the standard empirical likelihood method for a mean to the smoothed jackknife sample, the empirical likelihood ratio statistic can be calculated by simply solving a single equation. Therefore, this procedure...
متن کاملJackknife Empirical Likelihood Based Confidence Intervals for Partial Areas Under ROC Curves
The partial area under the ROC curve (partial AUC) summarizes the accuracy of a diagnostic or screening test over a relevant region of the ROC curve and represents a useful tool for the evaluation and the comparison of tests. In this paper, we propose a jackknife empirical likelihood method for making inference on partial AUCs. Following the idea in Jing, Yuan, and Zhou (2009), we combine the e...
متن کاملJackknife Empirical Likelihood for Smoothed Weighted Rank Regression with Censored Data
Rank regression is a highly-efficient and robust approach to estimate regression coefficients and to make inference in the presence of outlying survival times. Heller (2007) developed a smoothed weighted rank regression function, which is used to estimate the regression parameter vector in an accelerated failure time model with right censored data. This function can be expressed as a U -statist...
متن کاملJackknife Empirical Likelihood Inference For The Pietra Ratio
Pietra ratio (Pietra index), also known as Robin Hood index, Schutz coefficient (RicciSchutz index) or half the relative mean deviation, is a good measure of statistical heterogeneity in the context of positive-valued data sets. In this thesis, two novel methods namely “adjusted jackknife empirical likelihood” and “extended jackknife empirical likelihood” are developed from the jackknife empiri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2015
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2015.05.002