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20162023
most citedEstimation of P(X > Y ) for Weibull distribution based on hybrid censored samples

18 citations · 25 across the 26 of their papers we have counts for

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stat.ME2023

On estimating parameters of a multi-component Chirp Model with equal chirp rates

Abhinek Shukla, Debasis Kundu, Amit Mitra +1

Multi-component chirp signal models with equal chirp rates appear in various radar applications, e.g., synthetic aperture radar, echo signal of a rapid mobile target, etc. Many sub…

stat.ME2022★ 3 cited

Estimation methods for elementary chirp model parameters

Anjali Mittal, Rhythm Grover, Debasis Kundu +1

In this paper, we propose some estimation techniques to estimate the elementary chirp model parameters, which are encountered in sonar, radar, acoustics, and other areas. We derive…

stat.ME2022

A Computationally Efficient algorithm to estimate the Parameters of a Two-Dimensional Chirp Model with the product term

Abhinek Shukla, Rhythm Grover, Debasis Kundu +1

Chirp signal models and their generalizations have been used to model many natural and man-made phenomena in signal processing and time series literature. In recent times, several…

stat.ME2022

Order Restricted Inference for Adaptive Progressively Censored Competing Risks Data

Ayon Ganguly, Debanjan Mitra, Debasis Kundu

Under adaptive progressive Type-II censoring schemes, order restricted inference based on competing risks data is discussed in this article. The latent failure lifetimes for the co…

stat.ME2021

Bayesian Inference of a Dependent Competing Risk Data

Debashis Samanta, Debasis Kundu

Analysis of competing risks data plays an important role in the lifetime data analysis. Recently Feizjavadian and Hashemi (Computational Statistics and Data Analysis, vol. 82, 19-3…

stat.ME2020

Analysis of Left Truncated and Right Censored Competing Risks Data

Debasis Kundu, Debanjan Mitra, Ayon Ganguly

In this article, the analysis of left truncated and right censored competing risks data is carried out, under the assumption of the latent failure times model. It is assumed that t…

stat.ME2019

An efficient methodology to estimate the parameters of a two-dimensional chirp signal model

Rhythm Grover, Debasis Kundu, Amit Mitra

In various capacities of statistical signal processing two-dimensional (2-D) chirp models have been considered significantly, particularly in image processing to model gray-scal…

stat.ME2018

Parameter Estimation of absolute continuous four parameter Geometric Marshall-Olkin bivariate Pareto Distribution

Biplab Paul, Arabin Kumar Dey, Arjun K Gupta +1

In this paper we formulate a four parameter absolute continuous Geometric Marshall-Olkin bivariate Pareto distribution and study its parameter estimation through EM algorithm and a…

stat.ME2018

Asymptotic of Approximate Least Squares Estimators of Parameters Two-Dimensional Chirp Signal

Rhythm Grover, Debasis Kundu, Amit Mitra

In this paper, we address the problem of parameter estimation of a 2-D chirp model under the assumption that the errors are stationary. We extend the 2-D periodogram method for the…

stat.ME2018

A new decision theoretic sampling plan for type-I and type-I hybrid censored samples from the exponential distribution

Deepak Prajapati, Sharmistha Mitra, Debasis Kundu

The study proposes a new decision theoretic sampling plan (DSP) for Type-I and Type-I hybrid censored samples when the lifetimes of individual items are exponentially distributed w…

stat.ME2018

On a General Class of Discrete Bivariate Distributions

Debasis Kundu

In this paper we develop a very general class of bivariate discrete distributions. The basic idea is very simple. The marginals are obtained by taking the random geometric sum of a…

stat.ME2018

Chirp-like model and its parameter estimation

Rhythm Grover, Debasis Kundu, Amit Mitra

We propose a chirp-like signal model as an alternative to a chirp model and a generalisation of the sinusoidal model, which is a fundamental model in the statistical signal process…

stat.ME2018

On Bivariate Discrete Weibull Distribution

Debasis Kundu, Vahid Nekoukhou

Recently, Lee and Cha (2015, `On two generalized classes of discrete bivariate distributions', {\it American Statistician}, 221 - 230) proposed two general classes of discrete biva…

stat.ME2018

Univariate and Bivariate Geometric Discrete Generalized Exponential Distributions

Debasis Kundu, Vahid Nekoukhou

Marshall and Olkin (1997, Biometrika, 84, 641 - 652) introduced a very powerful method to introduce an additional parameter to a class of continuous distribution functions and henc…

stat.ME2017

Bayesian analysis of three parameter singular Marshall-Olkin bivariate Pareto distribution

Biplab Paul, Arabin Kumar Dey, Sanku Dey +1

This paper provides bayesian analysis of singular Marshall-Olkin bivariate Pareto distribution. We consider three parameter singular Marshall-Olkin bivariate Pareto distribution. W…

stat.ME2017

Point and Interval Estimation of Weibull Parameters Based on Joint Progressively Censored Data

Shuvashree Mondal, Debasis Kundu

The analysis of progressively censored data has received considerable attention in the last few years. In this paper we consider the joint progressive censoring scheme for two popu…

stat.ME2017

Multivariate Geometric Skew-Normal Distribution

Debasis Kundu

Azzalini (1985) introduced a skew-normal distribution of which normal distribution is a special case. Recently Kundu (2014) introduced a geometric skew-normal distribution and show…

stat.ME2017

Bivariate Discrete Generalized Exponential Distribution

Vahid Nekoukhou, Debasis Kundu

In this paper we develop a bivariate discrete generalized exponential distribution, whose marginals are discrete generalized exponential distribution as proposed by Nekoukhou, Alam…

stat.ME2016

A New Two Sample Type-II Progressive Censoring Scheme

Shuvashree Mondal, Debasis Kundu

Progressive censoring scheme has received considerable attention in recent years. In this paper we introduce a new type-II progressive censoring scheme for two samples. It is obser…