On a Generalized Savage Statistic with Applications to Life Testing

On a class of rank scores tests for censored data

“…Secondly to show that the efficiency is lost by giving any weight to the truncated portion unless p is small. Specifically we show that if p>=1/3, the test proposed in this paper is superior to those proposed by Sobel [11], Basu [1], [2], [3] and Gastwirth [6] contrary to Gastwirth's claim that his is an asymptotically most powerful test. Thus the title and Theorem 3.1 of Gastwirth's paper appear misleading.…”

Statistical inferences with jointly type-II censored samples from two Pareto distributions

“…The unit type and it is failure time is recorded until a prior fixed number of failures is obtained. Different authors have dealt with this type of censoring and its statistics earlier such as, Rao et al [1], Basu [2], Johnson and Mehrotra [3], Mehrotra and Johnson [4], Bhattacharyya and Mehro-*Corresponding Author: Hanaa H. Abu-Zinadah: Department of Statistics, Faculty of Science-AL Faisaliah, King Abdulaziz University, P.O. Box 32691, Jeddah 21438, Saudi Arabia, E-mail: habuzinadah@kau.edu.sa tra [5], Mehrotra and Bhattacharyya [6].…”

“…Finally comment about the result of simulation studies is shown in Section 7. (2). Also let q = (α 1 , α 2 ), η = (θ 1 , θ 2 ), s = (m, n), l = (mr , nr) and ω = (δ i , 1 − δ i ).…”

Exact likelihood inference for two exponential populations based on a joint generalized Type-I hybrid censored sample

“…A generalized Savage statistic has been considered by Basu, [3] while a locally most powerful rank test under joint censoring has been studied by Johnson and Mehrotra. [4] The problem of testing for the equality of two exponential distributions was discussed by Bhattacharyya and Mehrotra.…”