On Negative Mass Assigned by the Bivariate Kaplan-Meier Estimator

Kaplan–Meier Estimator

The Kaplan–Meier estimator is a nonparametric estimator which may be used to estimate the survival distribution function from censored data. The estimator may be obtained as the limiting case of the classical actuarial (life table) estimator, and it seems to have been first proposed by Böhmer [2]. It was, however, lost sight of by later researchers and not investigated further until the importa...

Source Code Survival with the Kaplan Meier Estimator

The presence of dead code may affect the comprehensibility, the readability, and the size of source code so increasing the effort and the cost for maintenance. The elimination of dead code needs a huge cost and effort for recognizing and eliminating code that is not effectively used. The goal of this work consists in defining an approach based on the Kaplan Meier estimator to analyze dead code....

Asymptotic Properties of Kaplan-meier Estimator for Censored Dependent Data

In some long term studies, a series of dependent and possibly censored failure times may be observed. Suppose that the failure times have a common marginal distribution function, and inferences about it are of our interest. The main result of this paper is that of providing, under certain regularity conditions, the Kaplan-Meier estimator can be expressed as the mean of random variables, with a ...

Electronic Companion — “ Adaptive Data - Driven Inventory Control with Censored Demand Based on Kaplan - Meier Estimator

Adaptive Data-Driven Inventory Control Policies Based on Kaplan-Meier Estimator for Censored Demand

Adaptive Data-Driven Inventory Control Policies Based on Kaplan-Meier Estimator for Censored Demand Woonghee Tim Huh Sauder School of Business, University of British Columbia, Vancouver, BC, Canada, V6T 1Z2. [email protected] Retsef Levi Sloan School of Management, MIT, Cambridge, MA, 02139 USA [email protected] Paat Rusmevichientong School of Operations Research and Information Engineering, C...