Gajendra K. Vishwakarma

According to our database, Gajendra K. Vishwakarma authored at least 33 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Interval shrinkage estimators of scale parameter of gamma density in presence of guessed values.

Gajendra K. Vishwakarma, Housila P. Singh, Harshada Joshi, Neelesh Kumar

J. Comput. Appl. Math., 2026

Input-output space-filling representative points for clustering, modeling, and estimation.

Ahmed M. Elsawah, Barkahoum Laala, Gajendra K. Vishwakarma

J. Comput. Appl. Math., 2026

2025

Integrating clustering and sequential analysis for improving the spectral density estimation and dependency structure of time series.

Barkahoum Laala, Ahmed M. Elsawah, Gajendra K. Vishwakarma, Kai-Tai Fang

Commun. Stat. Simul. Comput., March, 2025

Efficient Searls predictive estimators for the computation of mean under ranked set sampling: an application to COVID-19 data.

Subhash Kumar Yadav, Gajendra K. Vishwakarma, Abhishek Singh

Int. J. Syst. Assur. Eng. Manag., 2025

2024

Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute.

Gajendra K. Vishwakarma, Amod Kumar, Neelesh Kumar

Comput. Stat., April, 2024

MIIPW: An R package for Generalized Estimating Equations with missing data integration using a combination of mean score and inverse probability weighted approaches and multiple imputation.

Atanu Bhattacharjee, Gajendra K. Vishwakarma, Bhrigu K. Rajbongshi, Abhipsa Tripathy

Expert Syst. Appl., March, 2024

Shrinkage estimation for square of location parameter of the exponential distribution with known coefficient of variation.

Housila P. Singh, Gajendra K. Vishwakarma, Harshada Joshi, Shubham Gupta

J. Comput. Appl. Math., February, 2024

Censored imputation of time to event outcome through survival proximity score method.

Gajendra K. Vishwakarma, Atanu Bhattacherjee, Bhrigu K. Rajbongshi, Abhipsa Tripathy

J. Comput. Appl. Math., 2024

2023

Improved Memory Type Product Estimator for Population Mean in Stratified Random Sampling Under Linear Cost Function.

Subhash Kumar Yadav, Gajendra K. Vishwakarma, Rahul Varshney, Arun Pal

SN Comput. Sci., May, 2023

An Adjusted Gray Map Technique for Constructing Large Four-Level Uniform Designs.

Ahmed M. Elsawah, Gajendra K. Vishwakarma, H. S. Mohamed, Kai-Tai Fang

J. Syst. Sci. Complex., February, 2023

Handling missingness value on jointly measured time-course and time-to-event data.

Gajendra K. Vishwakarma, Atanu Bhattacharjee, Souvik Banerjee

Commun. Stat. Simul. Comput., January, 2023

An automated robust algorithm for clustering multivariate data.

Gajendra K. Vishwakarma, Chinmoy Paul, Ali S. Hadi, Ahmed M. Elsawah

J. Comput. Appl. Math., 2023

A modified risk detection approach of biomarkers by frailty effect on multiple time to event data.

Atanu Bhattacharjee, Gajendra K. Vishwakarma, Souvik Banerjee, Seng Huat Ong

J. Comput. Appl. Math., 2023

2022

A systematic construction approach for nonregular fractional factorial four-level designs via quaternary linear codes.

Ahmed M. Elsawah, Gajendra K. Vishwakarma

Comput. Appl. Math., October, 2022

Generalized estimator for computation of population mean under neutrosophic ranked set technique: An application to solar energy data.

Gajendra K. Vishwakarma, Abhishek Singh

Comput. Appl. Math., June, 2022

highMLR: An open-source package for R with machine learning for feature selection in high dimensional cancer clinical genome time to event data.

Atanu Bhattacharjee, Gajendra K. Vishwakarma, Souvik Banerjee, Alexander F. Pashchenko

Expert Syst. Appl., 2022

Shrinkage estimator for scale parameter of gamma distribution.

Gajendra K. Vishwakarma, Shubham Gupta

Commun. Stat. Simul. Comput., 2022

Computing the effect of measurement errors on efficient variant of the product and ratio estimators of mean using auxiliary information.

Neha Singh, Gajendra K. Vishwakarma, Jong Min Kim

Commun. Stat. Simul. Comput., 2022

An improved randomized response model for simultaneous estimation of means of two quantitative sensitive variables.

Amod Kumar, Gajendra K. Vishwakarma, Garib Nath Singh

Commun. Stat. Simul. Comput., 2022

A computational framework for estimation of mean in presence of observational error.

Gajendra K. Vishwakarma, Neha Singh, Neelesh Kumar

Concurr. Comput. Pract. Exp., 2022

Computing the effect of measurement errors on ranked set sampling estimators of the population mean.

Gajendra K. Vishwakarma, Abhishek Singh

Concurr. Comput. Pract. Exp., 2022

2021

A weight function method for selection of proteins to predict an outcome using protein expression data.

Gajendra K. Vishwakarma, Abin Thomas, Atanu Bhattacharjee

J. Comput. Appl. Math., 2021

Computing the effect of measurement errors under additive scramble response of the sensitive variable.

Gajendra K. Vishwakarma, Neha Singh

J. Comput. Appl. Math., 2021

Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers.

Abin Thomas, Gajendra K. Vishwakarma, Atanu Bhattacharjee

J. Comput. Appl. Math., 2021

A hybrid feedforward neural network algorithm for detecting outliers in non-stationary multivariate time series.

Gajendra K. Vishwakarma, Chinmoy Paul, Ahmed M. Elsawah

Expert Syst. Appl., 2021

2020

Analysis of two-terminal network reliability based on efficient data structure.

Subhashis Chatterjee, Venkata Ramana, Gajendra K. Vishwakarma

Int. J. Syst. Assur. Eng. Manag., 2020

Some alternative additive randomized response models for estimation of population mean of quantitative sensitive variable in the presence of scramble variable.

Garib Nath Singh, Amod Kumar, Gajendra K. Vishwakarma

Commun. Stat. Simul. Comput., 2020

Estimation of population mean of sensitive quantitative character using blank cards in randomized device.

Garib Nath Singh, Amod Kumar, Gajendra K. Vishwakarma

Commun. Stat. Simul. Comput., 2020

2018

Estimation of biophysical parameters in a neuron model under random fluctuations.

Ranjit Kumar Upadhyay, Chinmoy Paul, Argha Mondal, Gajendra K. Vishwakarma

Appl. Math. Comput., 2018

2017

Back propagation neural networks and multiple regressions in the case of heteroskedasticity.

Chinmoy Paul, Gajendra K. Vishwakarma

Commun. Stat. Simul. Comput., 2017

2014

A class of chain ratio-type exponential estimators in double sampling using two auxiliary variates.

Gajendra K. Vishwakarma, Raj K. Gangele

Appl. Math. Comput., 2014

2007

A general procedure for estimating the mean using double sampling for stratification.

Housila P. Singh, Gajendra K. Vishwakarma

Model. Assist. Stat. Appl., 2007

2006

An efficient variant of the product and ratio estimators in double sampling.

Housila P. Singh, Gajendra K. Vishwakarma

Model. Assist. Stat. Appl., 2006