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most citedEstimation of P(X > Y ) for Weibull distribution based on hybrid censored samples

18 citations · 18 across the 11 of their papers we have counts for

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stat.AP2018

Simple Step-Stress Models with a Cure Fraction

Nandini Kannan, Debasis Kundu

In this article, we consider models for time-to-event data obtained from experiments in which stress levels are altered at intermediate stages during the observation period. These…

stat.AP2018

On approximate least squares estimators of parameters on one-dimensional chirp signal

Rhythm Grover, Debasis Kundu, Amit Mitra

Chirp signals are quite common in many natural and man-made systems like audio signals, sonar, radar etc. Estimation of the unknown parameters of a signal is a fundamental problem…

stat.AP2018

Inference on Weibull Parameters Under a Balanced Two Sample Type-II Progressive Censoring Scheme

Shuvashree Mondal, Debasis Kundu

The progressive censoring scheme has received considerable amount of attention in the last fifteen years. During the last few years joint progressive censoring scheme has gained so…

stat.AP2017

Order Restricted Bayesian Analysis of a Simple Step Stress Model

Debashis Samanta, Debasis Kundu, Ayon Ganguly

In this article we consider a simple step stress set up under the cumulative exposure model assumption. At each stress level the lifetime distribution of the experimental units are…

stat.AP2017

Analysis of Type-II hybrid censored competing risks data

Arnab Koley, D. Kundu, Ayon Ganguly

Kundu and Gupta (2007, Metrika, 65, 159 - 170) provided the analysis of Type-I hybrid censored competing risks data, when the lifetime distribution of the competing causes of failu…

stat.AP2017

Interval Estimation of the Unknown Exponential Parameter Based on Time Truncated Data

Arnab Koley, Debasis Kundu

In this paper we consider the statistical inference of the unknown parameter of an exponential distribution based on the time truncated data. The time truncated data occurs quite o…