Testing Log Normality for Randomly Censored Data

Testing for Normality of Censored Data

In order to make statistical inference, that is drawing conclusions from a sample to describe a population, it is crucial to know the correct distribution of the data. This paper focused on censored data from the normal distribution. The purpose of this paper was to answer whether we can test if data comes from a censored normal distribution. This by using normality tests and tests designed for...

Improved Cramer-Rao Inequality for Randomly Censored Data

As an application of the improved Cauchy-Schwartz inequality due to Walker (Statist. Probab. Lett. (2017) 122:86-90), we obtain an improved version of the Cramer-Rao inequality for randomly censored data derived by Abdushukurov and Kim (J. Soviet. Math. (1987) pp. 2171-2185). We derive a lower bound of Bhattacharya type for the mean square error of a parametric function based on randomly censor...

Prediction from randomly right censored data

Let X be a random vector taking values in IR d , let Y be a bounded random variable, and let C be a right censoring random variable operating on Y. It is assumed that C is independent of (X; Y), the distribution function of C is continuous and the support of the distribution of Y is a proper subset of the support of the distribution of C. Given a sample fX i ; minfY i ; C i g; I Y i C i ] g and...

A nonparametric test for change in randomly censored data

A simple method for checking the assumption of identical distribution in a sequence of censored data is presented. It is based on a generalization of Wilcoxon’s rank statistic. The authors demonstrate the usefulness of this technique on the Stanford Heart Transplant and on the Radiation Therapy Oncology Group data. Easy to interpret plots give visual aid to interpret the type of change.

Smoothing Spline Regression Estimates for Randomly Right Censored Data