Bayes estimation of residual life by fusing multisource information

Fusing sensor information for location estimation

Pervasive computing is an emerging computing paradigm that provides new improved services for everyone, everywhere and at all times. In this paper* we discuss a system which exploits data streams derived from sensors, in order to accurately estimate a key factor for pervasive computing and context aware applications: the location of a user. The term “sensors” includes Wi-Fi adapters, IR receive...

Conditional Mean Residual Life Estimation

Smooth estimation of mean residual life

Abstract: We propose here a smooth estimator of the mean residual life function based on randomly censored data. This is derived by smoothing the product-limit estimator using the Chaubey-Sen technique (Chaubey and Sen (1998)). The resulting estimator does not suffer from boundary bias as is the case with standard kernel smoothing. The asymptotic properties of the estimator are investigated. We...

Estimation of a Monotone Mean Residual Life

Mean Residual Life Estimation Considering Operating Environment

The cost of maintenance of mechanized and automated mining systems is too high necessitating efforts to enhance the effectiveness of maintenance systems and organization. For effective maintenance planning, it is important to have a good understanding of the reliability and availability characteristics of the systems. This is essential for determining the Mean Residual Life (MRL) of systems so ...