activity
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

collaborators

34 papers

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…

q-fin.GN2022

Stationary GE-Process and its Application in Analyzing Gold Price Data

Debasis Kundu

In this paper we introduce a new discrete time and continuous state space stationary process , such that follows a two-parameter generalized expon…

cs.LG2021

The Three Ensemble Clustering (3EC) Algorithm for Pattern Discovery in Unsupervised Learning

Kundu, Debasish

This paper presents a multiple learner algorithm called the 'Three Ensemble Clustering 3EC' algorithm that classifies unlabeled data into quality clusters as a part of unsupervised…