Use of mean residual life in testing departures from exponentiality

Use of mean residual life in testing departures from exponentiality

We utilize the important characterization that E(X − t |X > t) is a constant for t ∈ [0,∞) if and only if X is distributed as an exponential random variable, in order to construct a new test procedure for exponentiality. We discuss asymptotic distribution theory and other properties of the proposed procedure. Simulation studies indicate that the proposed statistic has very good power in a large...

The use of Mean Residual Life in testing departures from Exponentiality

We utilize the important characterization that E(X− t|X > t) is a constant for t ∈ [0,∞) if and only if X is distributed as an exponential random variable, in order to construct a new test procedure for exponentiality. We discuss asymptotic distribution theory and other properties of the proposed procedure. Simulation studies indicate that the proposed statistic has very good power in a large v...

Conditional Mean Residual Life Estimation

On Testing Monotonicity of Mean Residual Life from Randomly Censored Data

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...