Results 261 to 270 of about 428,360 (302)
Some of the next articles are maybe not open access.

On inference for mean residual life

Communications in Statistics - Theory and Methods, 1999
In this paper, we propose a smooth nonparametric estimator of mean residual life based on a randomly censored sample. Large sample properties of the proposed estimator are examined. Also we study the asymptotic relative efficiency for different members in the family of test statistics, proposed by Lim and Park(1998), for testing whether or not the mean
Myung Hwan Na, Jae Joo Kim
openaire   +1 more source

On the mean residual life of records

Journal of Statistical Planning and Inference, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raqab, Mohammad Z., Asadi, Majid
openaire   +1 more source

A Criterion for Burn-in that Balances Mean Residual Life and Residual Variance

Operations Research, 2002
Optimum burn-in times have been determined for a variety of criteria such as mean residual life and conditional survival. In this paper we consider a residual coefficient of variation that balances mean residual life with residual variance. To study this quantity, we develop a general result concerning the preservation ofbathtub distributions.
Henry W. Block   +2 more
openaire   +1 more source

ON DYNAMIC PROPORTIONAL MEAN RESIDUAL LIFE MODEL

Probability in the Engineering and Informational Sciences, 2013
Recently, proportional mean residual life model has received a lot of attention after the importance of the model was discussed by Zahedi [17]. In this paper, we define dynamic proportional mean residual life model and study its properties for different aging classes. The closure of this model under different stochastic orders is also discussed.
Nanda, Asok K.   +2 more
openaire   +2 more sources

Characterization of bivariate mean residual-life function

IEEE Transactions on Reliability, 1996
This paper gives a counter example to invalidate a claim of Nair and Nair (1989) regarding a characterization of bivariate mean residual-life function (BMRLF). The authors characterize BMRLF of an absolutely continuous life-time distribution and, based on the form of the BMRLF, introduce probability models for bivariate life-time data.
H. V. Kulkarni, R. N. Rattihalli
openaire   +1 more source

On the Mean Residual Life Function of Coherent Systems

IEEE Transactions on Reliability, 2008
We consider a coherent structure consisting of n components having the property that if it is known that at most r components (r < n) have failed, the system is still operating with probability 1. Some examples of the systems having this property are (n - k + 1)-out-of- n, some parallel-series, and some series-parallel structures.
Majid Asadi, S. Goliforushani
openaire   +1 more source

Modelling accelerated life testing based on mean residual life

International Journal of Systems Science, 2005
Accelerated life testing (ALT) is a widely used approach for reliability demonstration and prediction. Extensive research on ALT models has been focused on Accelerated Failure Time (AFT) models, Proportional Hazards (PH) models and some extensions of these two models.
Wenbiao Zhao, Elsayed A. Elsayed
openaire   +1 more source

Trend change in mean residual life

IEEE Transactions on Reliability, 1995
The authors consider a life distribution which shows a trend change in its mean residual life (MRL). The problem of testing such a trend change has been of great interest in reliability analysis. The authors propose a new procedure for testing the exponentiality against IDMRL or DMIRL, assuming that the proportion of the population, p, that dies at or ...
null Jae-Hak Lim, null Dong Ho Park
openaire   +1 more source

On smooth estimation of mean residual life

Journal of Statistical Planning and Inference, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chaubey, Yogendra P., Sen, Pranab K.
openaire   +1 more source

Linearity of convex mean residual life

Journal of Statistical Planning and Inference, 2001
For a random variable \(X\) with distribution function \(F(x)\) define \[ M(a,z)= aE(X\mid X\leq z)+(1-a) E(X\mid X>z), \] where \(0\leq a\leq 1\), and \(z\) is such that ...
WesoĊ‚owski, Jacek, Gupta, Arjun K.
openaire   +1 more source

Home - About - Disclaimer - Privacy