Logspline Density Estimation for Censored Data
نویسندگان
چکیده
منابع مشابه
Logspline Density Estimation under Censoring and Truncation
In this paper we consider logspline density estimation for data that may be lefttruncated or right-censored. For randomly left-truncated and right-censored data the product-limit estimator is known to be a consistent estimator of the survivor function, having a faster rate of convergence than many density estimators. The product-limit estimator and B-splines are used to construct the logspline ...
متن کاملRelative density estimation with censored data
Well described tools for comparing two populations via their cumulative distribution functions F and F0 are the so-called relative distribution R (t) = F { F−1 0 (t) } and the corresponding relative density (or grade density) r (t). The authors propose a kerneltype estimator for the relative density r (t) in the situation where independent samples of right-censored observations are available fr...
متن کاملSiZer for Censored Density and Hazard Estimation
The SiZer method is extended to nonparametric hazard estimation and also to censored density and hazard estimation. The new method allows quick, visual statistical inference about the important issue of statistically significant increases and decreases in the smooth curve estimate. Instead of being straightforward, this extension has required the opening of a new avenue of research on the inter...
متن کاملDensity Estimation of Censored Data with Infinite-Order Kernels
Higher-order accurate density estimation under random right censorship is achieved using kernel estimators from a family of infinite-order kernels. A compatible bandwidth selection procedure is also proposed that automatically adapts to level of smoothness of the underlying lifetime density. The combination of infinite-order kernels with the new bandwidth selection procedure produces a consider...
متن کاملNon-Bayesian Estimation and Prediction under Weibull Interval Censored Data
In this paper, a one-sample point predictor of the random variable X is studied. X is the occurrence of an event in any successive visits $L_i$ and $R_i$ :i=1,2…,n (interval censoring). Our proposed method is based on finding the expected value of the conditional distribution of X given $L_i$ and $R_i$ (i=1,2…,n). To make the desired prediction, our approach is on the basis of approximating the...
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 Computational and Graphical Statistics
سال: 1992
ISSN: 1061-8600
DOI: 10.2307/1390786