Debasis Kundu

114 papers A* 1Journal 109Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discriminating Between Weibull and Log-Normal Distributions in the Presence of Hybrid Censoring.
Qual. Reliab. Eng. Int.
Ojasvi Rajput, Debasis Kundu, Sharmishtha Mitra
2026 J jnl
Estimation of five parameter bivariate modified Weibull singular distribution.
Commun. Stat. Simul. Comput.
Sanjay Kumar, Debasis Kundu, Sharmishtha Mitra
2026 J jnl
On Constrained Multicriteria-Based Planning for a Two-Parameter Exponential Distribution.
Qual. Reliab. Eng. Int.
Kiran Prajapat, Sharmishtha Mitra, Debasis Kundu
2025 J jnl
Estimating Parameters of Elementary Chirp Model Using Modified Newton-Raphson Algorithm.
Circuits Syst. Signal Process.
Swagata Nandi, Debasis Kundu
2025 J jnl
Geometric scale mixtures of normal distributions.
J. Multivar. Anal.
Deepak Prajapati, Sobhan Shafiei, Debasis Kundu, Ahad Jamalizadeh
2025 J jnl
Inference for compound truncated Poisson log-normal model with application to maximum precipitation data.
Commun. Stat. Simul. Comput.
Mohammed A. Meraou, Mohammad Z. Raqab, Debasis Kundu, Fatemah A. Alqallaf
2025 J jnl
Model misspecification of Log-Normal and Birnbaum-Saunders distributions.
Commun. Stat. Simul. Comput.
Suparna Basu, Debasis Kundu
2025 J jnl
On Semi-Parametric Progressive Censoring.
Stat. Comput.
Deepak Prajapati, Debasis Kundu
2025 J jnl
On Weighted Least Squares Estimation of Elementary Chirp Model.
IEEE Trans. Aerosp. Electron. Syst.
Anjali Mittal, Debasis Kundu, Amit Mitra
2025 J jnl
Robust Parameter Estimation of Newton's Rings.
Circuits Syst. Signal Process.
Debasis Kundu
2025 J jnl
Robust and Efficient Estimation for the Block-Basu Bivariate Exponential Distribution.
Stat. Comput.
Sanjay Kumar, Debasis Kundu, Sharmishtha Mitra
2024 J jnl
A finite mixture model for multiple dependent competing risks with applications of automotive warranty claims data.
Stat. Comput.
Deepak Prajapati, Ayan Pal, Debasis Kundu
2024 J jnl
A new bivariate lifetime distribution: properties, estimations and its extension.
Commun. Stat. Simul. Comput.
Ammar M. Sarhan, Joseph Apaloo, Debasis Kundu
2024 J jnl
Bayesian acceptance sampling plan for simple step-stress model.
Commun. Stat. Simul. Comput.
Deepak Prajapati, Debasis Kundu
2024 J jnl
Fundamental Frequency and its Harmonics Model: A Robust Method of Estimation.
Circuits Syst. Signal Process.
Debasis Kundu
2024 J jnl
Inference of multi-sample stage life testing model under Weibull distribution.
Qual. Reliab. Eng. Int.
Debashis Samanta, Debasis Kundu
2024 J jnl
Model order estimation in multi-component chirp signals.
Signal Process.
Abhinek Shukla, Debasis Kundu, Amit Mitra
2024 J jnl
On robust method of estimation in polynomial-sinusoidal regression.
Signal Process.
Debasis Kundu
2024 J jnl
On three-parameter generalized exponential distribution.
Commun. Stat. Simul. Comput.
Suparna Basu, Debasis Kundu
2024 J jnl
Step-stress life-testing under tampered random variable modeling for Weibull distribution in presence of competing risk data.
Qual. Reliab. Eng. Int.
Farha Sultana, Çagatay Çetinkaya, Debasis Kundu
2024 J jnl
Testing the goodness-of-fit of the stable distributions with applications to German stock index data and Bitcoin cryptocurrency data.
Stat. Comput.
Ruhul Ali Khan, Ayan Pal, Debasis Kundu
2024 J jnl
Two sample Bayesian acceptance sampling plan.
Ann. Oper. Res.
Deepak Prajapati, Shuvashree Mondal, Debasis Kundu
2023 J jnl
A computationally efficient algorithm to estimate the parameters of a two-dimensional chirp model with the product term.
Multidimens. Syst. Signal Process.
Abhinek Shukla, Rhythm Grover, Debasis Kundu, Amit Mitra
2023 J jnl
A consistent method of estimation for three-parameter generalized exponential distribution.
Commun. Stat. Simul. Comput.
Kiran Prajapat, Sharmishtha Mitra, Debasis Kundu
2023 J jnl
A sequential sampling approach for discriminating log-normal, Weibull, and log-logistic distributions.
Commun. Stat. Simul. Comput.
Biplab Paul, Shyamal K. De, Debasis Kundu
2023 J jnl
Bayesian sampling plan for the exponential distribution with generalized Type - II hybrid censoring scheme.
Commun. Stat. Simul. Comput.
Deepak Prajapati, Sharmishtha Mitra, Debasis Kundu
2023 J jnl
Estimation of the Elementary Chirp Model Parameters.
IEEE Trans. Aerosp. Electron. Syst.
Anjali Mittal, Rhythm Grover, Debasis Kundu, Amit Mitra
2023 J jnl
On Efficient Parameter Estimation of Elementary Chirp Model.
IEEE Trans. Signal Process.
Anjali Mittal, Rhythm Grover, Debasis Kundu, Amit Mitra
2023 J jnl
On Estimating Parameters of a Multicomponent Chirp Model With Equal Chirp Rates.
IEEE Trans. Aerosp. Electron. Syst.
Abhinek Shukla, Debasis Kundu, Amit Mitra, Rhythm Grover
2023 J jnl
On Weighted Least Squares Estimators of Parameters of a Chirp Model.
Circuits Syst. Signal Process.
Debasis Kundu, Swagata Nandi, Rhythm Grover
2023 J jnl
Robust estimators of two dimensional sinusoidal model parameters.
Signal Process.
Debasis Kundu, Rhythm Grover
2022 J jnl
A bivariate inverse generalized exponential distribution and its applications in dependent competing risks model.
Commun. Stat. Simul. Comput.
Fatemah A. Alqallaf, Debasis Kundu
2022 J jnl
Approximate least squares estimators of a two-dimensional chirp model.
J. Multivar. Anal.
Abhinek Shukla, Rhythm Grover, Debasis Kundu, Amit Mitra
2022 J jnl
Computationally Efficient Algorithm for Frequency Estimation of a Two-Dimensional Sinusoidal Model.
Circuits Syst. Signal Process.
Rhythm Grover, Aditi Sharma, Théo Delcourt, Debasis Kundu
2022 J jnl
Estimating Parameters in Multichannel Sinusoidal Model.
Circuits Syst. Signal Process.
Swagata Nandi, Debasis Kundu
2022 J jnl
Estimation of parameters of two-dimensional random amplitude chirp signal in additive noise.
Multidimens. Syst. Signal Process.
Swagata Nandi, Rhythm Grover, Debasis Kundu
2022 J jnl
Statistical Inference of Jointly Type-II Lifetime Samples under Weibull Competing Risks Models.
Symmetry
Abdulaziz S. Alghamdi, Gamal Amin Abd-Elmougod, Debasis Kundu, Marin Marin
2022 J jnl
Statistical Inference on the Shannon and Rényi Entropy Measures of Generalized Exponential Distribution Under the Progressive Censoring.
SN Comput. Sci.
Kousik Maiti, Suchandan Kayal, Debasis Kundu
2021 J jnl
An efficient methodology to estimate the parameters of a two-dimensional chirp signal model.
Multidimens. Syst. Signal Process.
Rhythm Grover, Debasis Kundu, Amit Mitra
2021 J jnl
Asymptotic Properties of Least Squares Estimators and Sequential Least Squares Estimators of a Chirp-like Signal Model Parameters.
Circuits Syst. Signal Process.
Rhythm Grover, Debasis Kundu, Amit Mitra
2021 J jnl
Correction to: Asymptotic Properties of Least Squares Estimators and Sequential Least Squares Estimators of a Chirp-like Signal Model Parameters.
Circuits Syst. Signal Process.
Rhythm Grover, Debasis Kundu, Amit Mitra
2021 J jnl
Estimation of parameters of a harmonic chirp model.
IET Signal Process.
Rhythm Grover, Debasis Kundu, Amit Mitra
2021 J jnl
Estimation of parameters of multiple chirp signal in presence of additive alpha-stable errors.
Signal Process.
Swagata Nandi, Rhythm Grover, Debasis Kundu
2020 J jnl
A generalized Freund bivariate model for a two-component load sharing system.
Reliab. Eng. Syst. Saf.
Manuel Franco, Juana-María Vivo, Debasis Kundu
2020 J jnl
A new decision theoretic sampling plan for exponential distribution under Type-I censoring.
Commun. Stat. Simul. Comput.
Deepak Prajapati, Sharmistha Mitra, Debasis Kundu
2020 J jnl
Estimation of parameters in random amplitude chirp signal.
Signal Process.
Swagata Nandi, Debasis Kundu
2020 J jnl
Inference on Weibull parameters under a balanced two-sample type II progressive censoring scheme.
Qual. Reliab. Eng. Int.
Shuvashree Mondal, Debasis Kundu
2020 J jnl
On absolutely continuous bivariate generalized exponential power series distribution.
Commun. Stat. Simul. Comput.
Rasool Roozegar, Debasis Kundu
2020 J jnl
Weighted bivariate geometric distribution: Simulation and estimation.
Commun. Stat. Simul. Comput.
Hossein Najarzadegan, Mohammad Hossein Alamatsaz, Iraj Kazemi, Debasis Kundu
2019 J jnl
Analysis of Weibull Step-Stress Model In Presence of Competing Risk.
IEEE Trans. Reliab.
Debashis Samanta, Arindam Gupta, Debasis Kundu
2019 J jnl
Tests For the Parameters of Chirp Signal Model.
IEEE Trans. Signal Process.
Subhra Sankar Dhar, Debasis Kundu, Ujjwal Das
2018 J jnl
Approximate least squares estimators of a two-dimensional chirp model and their asymptotic properties.
J. Multivar. Anal.
Rhythm Grover, Debasis Kundu, Amit Mitra
2018 J jnl
Discriminating among Weibull, log-normal, and log-logistic distributions.
Commun. Stat. Simul. Comput.
Mohammad Z. Raqab, Shafiqah A. Al-Awadhi, Debasis Kundu
2018 J jnl
Order restricted inference of a multiple step-stress model.
Comput. Stat. Data Anal.
Debashis Samanta, Debasis Kundu
2017 J jnl
Analysis of left truncated and right censored competing risks data.
Comput. Stat. Data Anal.
Debasis Kundu, Debanjan Mitra, Ayon Ganguly
2017 J jnl
Discriminating between the generalized Rayleigh and Weibull distributions: Some comparative studies.
Commun. Stat. Simul. Comput.
Murad A. Ahmad, Mohammad Z. Raqab, Debasis Kundu
2017 J jnl
Estimation of (P(X>Y)) for Weibull distribution based on hybrid censored samples.
Int. J. Syst. Assur. Eng. Manag.
Akbar Asgharzadeh, Mohammad Kazemi, Debasis Kundu
2017 J jnl
Order restricted Bayesian inference for exponential simple step-stress model.
Commun. Stat. Simul. Comput.
Debashis Samanta, Ambarish Ganguly, Debasis Kundu, Sanjit K. Mitra
2016 J jnl
A Bayesian Approach to Estimation of Speaker Normalization Parameters.
CoRR
Dhananjay Ram, Debasis Kundu, Rajesh M. Hegde
2016 J jnl
Bayesian inference of Weibull distribution based on left truncated and right censored data.
Comput. Stat. Data Anal.
Debasis Kundu, Debanjan Mitra
2016 J jnl
On Progressively Type-II Censored Two-parameter Rayleigh Distribution.
Commun. Stat. Simul. Comput.
Tanujit Dey, Sanku Dey, Debasis Kundu
2015 J jnl
Bayesian Analysis of a Simple Step-Stress Model Under Weibull Lifetimes.
IEEE Trans. Reliab.
Ayon Ganguly, Debasis Kundu, Sanjit Kumar Mitra
2015 J jnl
Estimating the parameters of multiple chirp signals.
J. Multivar. Anal.
Ananya Lahiri, Debasis Kundu, Amit Mitra
2015 J jnl
Inference for a Step-Stress Model With Competing Risks for Failure From the Generalized Exponential Distribution Under Type-I Censoring.
IEEE Trans. Reliab.
David Han, Debasis Kundu
2015 J jnl
On a new absolutely continuous bivariate generalized exponential distribution.
Stat. Methods Appl.
Seyed Mohsen Mirhosseini, Mohammad Amini, Debasis Kundu, Ali Dolati
2014 — conf
A Bayesian approach to speaker normalization using vowel formant frequency.
NCC
Dhananjay Ram, Debasis Kundu, Rajesh M. Hegde
2014 J jnl
Multivariate distributions with proportional reversed hazard marginals.
Comput. Stat. Data Anal.
Debasis Kundu, Manuel Franco, Juana-María Vivo
2014 J jnl
On bivariate Weibull-Geometric distribution.
J. Multivar. Anal.
Debasis Kundu, Arjun K. Gupta
2013 J jnl
Bayes estimation for the Marshall-Olkin bivariate Weibull distribution.
Comput. Stat. Data Anal.
Debasis Kundu, Arjun K. Gupta
2013 J jnl
Bayesian Analysis of Different Hybrid and Progressive Life Tests.
Commun. Stat. Simul. Comput.
Debasis Kundu, Debashis Samanta, Ambarish Ganguly, Sanjit K. Mitra
2013 J jnl
Bayesian planning and inference of a progressively censored sample from linear hazard rate distribution.
Comput. Stat. Data Anal.
Ananda Sen, Nandini Kannan, Debasis Kundu
2013 J jnl
Generalized multivariate Birnbaum-Saunders distributions and related inferential issues.
J. Multivar. Anal.
Debasis Kundu, N. Balakrishnan, Ahad Jamalizadeh
2013 J jnl
Hybrid censoring: Models, inferential results and applications.
Comput. Stat. Data Anal.
N. Balakrishnan, Debasis Kundu
2013 J jnl
Noise space decomposition method for two-dimensional sinusoidal model.
Comput. Stat. Data Anal.
Swagata Nandi, Debasis Kundu, Rajesh Kumar Srivastava
2012 J jnl
Efficient algorithm for estimating the parameters of a chirp signal.
J. Multivar. Anal.
Ananya Lahiri, Debasis Kundu, Amit Mitra
2012 — book
Statistical Signal Processing - Frequency Estimation.
Debasis Kundu, Swagata Nandi
2011 J jnl
Inferences on Weibull parameters with conventional type-I censoring.
Comput. Stat. Data Anal.
Avijit Joarder, Hare Krishna, Debasis Kundu
2011 — ch.
Statistical Signal Processing.
International Encyclopedia of Statistical Science
Debasis Kundu
2011 J jnl
The bivariate generalized linear failure rate distribution and its multivariate extension.
Comput. Stat. Data Anal.
Ammar M. Sarhan, David C. Hamilton, Bruce Smith, Debasis Kundu
2010 J jnl
Bayesian inference and prediction of the inverse Weibull distribution for Type-II censored data.
Comput. Stat. Data Anal.
Debasis Kundu, Hatem Howlader
2010 J jnl
Bivariate Birnbaum-Saunders distribution and associated inference.
J. Multivar. Anal.
Debasis Kundu, N. Balakrishnan, Ahad Jamalizadeh
2010 J jnl
Genetic algorithms based robust frequency estimation of sinusoidal signals with stationary errors.
Eng. Appl. Artif. Intell.
Amit Mitra, Debasis Kundu
2009 J jnl
Bivariate generalized exponential distribution.
J. Multivar. Anal.
Debasis Kundu, Rameshwar D. Gupta
2009 J jnl
Discriminating Among the Log-Normal, Weibull, and Generalized Exponential Distributions.
IEEE Trans. Reliab.
Arabin Kumar Dey, Debasis Kundu
2009 J jnl
Estimating the parameters of the Marshall-Olkin bivariate Weibull distribution by EM algorithm.
Comput. Stat. Data Anal.
Debasis Kundu, Arabin Kumar Dey
2009 J jnl
On progressively censored competing risks data for Weibull distributions.
Comput. Stat. Data Anal.
Bhuvanesh Pareek, Debasis Kundu, Sumit Kumar
2008 J jnl
Bayes estimators for reliability measures in geometric distribution model using masked system life test data.
Comput. Stat. Data Anal.
Ammar M. Sarhan, Debasis Kundu
2008 J jnl
Bayesian Inference and Life Testing Plan for the Weibull Distribution in Presence of Progressive Censoring.
Technometrics
Debasis Kundu
2008 J jnl
Generalized exponential distribution: Bayesian estimations.
Comput. Stat. Data Anal.
Debasis Kundu, Rameshwar D. Gupta
2008 J jnl
Inference Based on Type-II Hybrid Censored Data From a Weibull Distribution.
IEEE Trans. Reliab.
Aveek Banerjee, Debasis Kundu
2008 J jnl
On the hazard function of Birnbaum-Saunders distribution and associated inference.
Comput. Stat. Data Anal.
Debasis Kundu, Nandini Kannan, N. Balakrishnan
2008 A* conf
Sparse Maximum Margin Logistic Regression for Credit Scoring.
ICDM
Sabyasachi Patra, Kripa Shanker, Debasis Kundu
2007 J jnl
A convenient way of generating gamma random variables using generalized exponential distribution.
Comput. Stat. Data Anal.
Debasis Kundu, Rameshwar D. Gupta
2007 J jnl
Erratum to "Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on Type-II censored samples": [Computational Statistics & Data Analysis 50 (2006) 3222-3242].
Comput. Stat. Data Anal.
H. K. T. Ng, Debasis Kundu, N. Balakrishnan
2006 J jnl
Analysis of Type-II progressively hybrid censored data.
Comput. Stat. Data Anal.
Debasis Kundu, Avijit Joarder
2006 J jnl
Analysis of incomplete data in presence of competing risks among several groups.
IEEE Trans. Reliab.
Debasis Kundu, Ammar M. Sarhan
2006 J jnl
Estimation of P[Y<X] for Weibull distributions.
IEEE Trans. Reliab.
Debasis Kundu, Rameshwar D. Gupta
2006 J jnl
Frequency estimation of undamped exponential signals using genetic algorithms.
Comput. Stat. Data Anal.
Amit Mitra, Debasis Kundu, Gunjan Agrawal
2006 J jnl
Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on Type-II censored samples.
Comput. Stat. Data Anal.
H. K. T. Ng, Debasis Kundu, N. Balakrishnan
2005 J jnl
Generalized Rayleigh distribution: different methods of estimations.
Comput. Stat. Data Anal.
Debasis Kundu, Mohammad Z. Raqab
2004 J jnl
A note on estimating the fundamental frequency of a periodic function.
Signal Process.
Debasis Kundu, Swagata Nandi
2003 — ch.
Analysis of Progressively Censored Competing Risks Data.
Advances in Survival Analysis
Debasis Kundu, Nandini Kannan, N. Balakrishnan
2003 J jnl
Discriminating between Weibull and generalized exponential distributions.
Comput. Stat. Data Anal.
Rameshwar D. Gupta, Debasis Kundu
2003 J jnl
Modified moment estimation for the two-parameter Birnbaum-Saunders distribution.
Comput. Stat. Data Anal.
H. K. T. Ng, Debasis Kundu, N. Balakrishnan
2001 J jnl
Estimating parameters in the damped exponential model.
Signal Process.
Nandini Kannan, Debasis Kundu
2001 J jnl
Some comments on "Complex AM signal model for non-stationary signals" by Sircar and Syali.
Signal Process.
Swagata Nandi, Debasis Kundu
2000 J jnl
Detecting the number of signals for an undamped exponential model using cross-validation approach.
Signal Process.
Debasis Kundu, Amit Mitra
1999 J jnl
On asymptotic behavior of least squares estimators and the confidence intervals of the superimposed exponential signals.
Signal Process.
Debasis Kundu, Amit Mitra
1997 J jnl
Estimating the number of sinusoids in additive white noise.
Signal Process.
Debasis Kundu
1996 J jnl
A theorem in probability and its applications in multidimensional signal processing.
IEEE Trans. Signal Process.
Debasis Kundu, Z. D. Bai, Amit Mitra
1996 J jnl
Asymptotic properties of the least squares estimates of 2-D exponential signals.
Multidimens. Syst. Signal Process.
Debasis Kundu, Amit Mitra
1996 J jnl
Modified MUSIC algorithm for estimating DOA of signals.
Signal Process.
Debasis Kundu
1995 J jnl
Estimating the parameters of exponentially damped/undamped sinusoids in noise: A non-iterative approach.
Signal Process.
Debasis Kundu, Amit Mitra
1994 J jnl
On modified EVLP and ML methods for estimating superimposed exponential signals.
Signal Process.
Nandini Kannan, Debasis Kundu