Gajendra K. Vishwakarma

34 papers Journal 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A robust multi-criteria decision making approach for selecting electric vehicle using q-rung orthopair fuzzy set and COPRAS with novel entropy. J. Comput. Appl. Math. Samriti Chandel, Bhupendra Kumar Pathak, Gajendra K. Vishwakarma
2026	J	`jnl`	Input-output space-filling representative points for clustering, modeling, and estimation. J. Comput. Appl. Math. Ahmed M. Elsawah, Barkahoum Laala, Gajendra K. Vishwakarma
2026	J	`jnl`	Interval shrinkage estimators of scale parameter of gamma density in presence of guessed values. J. Comput. Appl. Math. Gajendra K. Vishwakarma, Housila P. Singh, Harshada Joshi, Neelesh Kumar
2025	J	`jnl`	Efficient Searls predictive estimators for the computation of mean under ranked set sampling: an application to COVID-19 data. Int. J. Syst. Assur. Eng. Manag. Subhash Kumar Yadav, Gajendra K. Vishwakarma, Abhishek Singh
2025	J	`jnl`	Integrating clustering and sequential analysis for improving the spectral density estimation and dependency structure of time series. Commun. Stat. Simul. Comput. Barkahoum Laala, Ahmed M. Elsawah, Gajendra K. Vishwakarma, Kai-Tai Fang
2024	J	`jnl`	Censored imputation of time to event outcome through survival proximity score method. J. Comput. Appl. Math. Gajendra K. Vishwakarma, Atanu Bhattacherjee, Bhrigu K. Rajbongshi, Abhipsa Tripathy
2024	J	`jnl`	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. Expert Syst. Appl. Atanu Bhattacharjee, Gajendra K. Vishwakarma, Bhrigu K. Rajbongshi, Abhipsa Tripathy
2024	J	`jnl`	Shrinkage estimation for square of location parameter of the exponential distribution with known coefficient of variation. J. Comput. Appl. Math. Housila P. Singh, Gajendra K. Vishwakarma, Harshada Joshi, Shubham Gupta
2024	J	`jnl`	Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute. Comput. Stat. Gajendra K. Vishwakarma, Amod Kumar, Neelesh Kumar
2023	J	`jnl`	A modified risk detection approach of biomarkers by frailty effect on multiple time to event data. J. Comput. Appl. Math. Atanu Bhattacharjee, Gajendra K. Vishwakarma, Souvik Banerjee, Seng Huat Ong
2023	J	`jnl`	An Adjusted Gray Map Technique for Constructing Large Four-Level Uniform Designs. J. Syst. Sci. Complex. Ahmed M. Elsawah, Gajendra K. Vishwakarma, H. S. Mohamed, Kai-Tai Fang
2023	J	`jnl`	An automated robust algorithm for clustering multivariate data. J. Comput. Appl. Math. Gajendra K. Vishwakarma, Chinmoy Paul, Ali S. Hadi, Ahmed M. Elsawah
2023	J	`jnl`	Handling missingness value on jointly measured time-course and time-to-event data. Commun. Stat. Simul. Comput. Gajendra K. Vishwakarma, Atanu Bhattacharjee, Souvik Banerjee
2023	J	`jnl`	Improved Memory Type Product Estimator for Population Mean in Stratified Random Sampling Under Linear Cost Function. SN Comput. Sci. Subhash Kumar Yadav, Gajendra K. Vishwakarma, Rahul Varshney, Arun Pal
2022	J	`jnl`	A computational framework for estimation of mean in presence of observational error. Concurr. Comput. Pract. Exp. Gajendra K. Vishwakarma, Neha Singh, Neelesh Kumar
2022	J	`jnl`	A systematic construction approach for nonregular fractional factorial four-level designs via quaternary linear codes. Comput. Appl. Math. Ahmed M. Elsawah, Gajendra K. Vishwakarma
2022	J	`jnl`	An improved randomized response model for simultaneous estimation of means of two quantitative sensitive variables. Commun. Stat. Simul. Comput. Amod Kumar, Gajendra K. Vishwakarma, Garib Nath Singh
2022	J	`jnl`	Computing the effect of measurement errors on efficient variant of the product and ratio estimators of mean using auxiliary information. Commun. Stat. Simul. Comput. Neha Singh, Gajendra K. Vishwakarma, Jong Min Kim
2022	J	`jnl`	Computing the effect of measurement errors on ranked set sampling estimators of the population mean. Concurr. Comput. Pract. Exp. Gajendra K. Vishwakarma, Abhishek Singh
2022	J	`jnl`	Generalized estimator for computation of population mean under neutrosophic ranked set technique: An application to solar energy data. Comput. Appl. Math. Gajendra K. Vishwakarma, Abhishek Singh
2022	J	`jnl`	Shrinkage estimator for scale parameter of gamma distribution. Commun. Stat. Simul. Comput. Gajendra K. Vishwakarma, Shubham Gupta
2022	J	`jnl`	highMLR: An open-source package for R with machine learning for feature selection in high dimensional cancer clinical genome time to event data. Expert Syst. Appl. Atanu Bhattacharjee, Gajendra K. Vishwakarma, Souvik Banerjee, Alexander F. Pashchenko
2021	J	`jnl`	A hybrid feedforward neural network algorithm for detecting outliers in non-stationary multivariate time series. Expert Syst. Appl. Gajendra K. Vishwakarma, Chinmoy Paul, Ahmed M. Elsawah
2021	J	`jnl`	A weight function method for selection of proteins to predict an outcome using protein expression data. J. Comput. Appl. Math. Gajendra K. Vishwakarma, Abin Thomas, Atanu Bhattacharjee
2021	J	`jnl`	Computing the effect of measurement errors under additive scramble response of the sensitive variable. J. Comput. Appl. Math. Gajendra K. Vishwakarma, Neha Singh
2021	J	`jnl`	Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers. J. Comput. Appl. Math. Abin Thomas, Gajendra K. Vishwakarma, Atanu Bhattacharjee
2020	J	`jnl`	Analysis of two-terminal network reliability based on efficient data structure. Int. J. Syst. Assur. Eng. Manag. Subhashis Chatterjee, Venkata Ramana, Gajendra K. Vishwakarma
2020	J	`jnl`	Estimation of population mean of sensitive quantitative character using blank cards in randomized device. Commun. Stat. Simul. Comput. Garib Nath Singh, Amod Kumar, Gajendra K. Vishwakarma
2020	J	`jnl`	Some alternative additive randomized response models for estimation of population mean of quantitative sensitive variable in the presence of scramble variable. Commun. Stat. Simul. Comput. Garib Nath Singh, Amod Kumar, Gajendra K. Vishwakarma
2018	J	`jnl`	Estimation of biophysical parameters in a neuron model under random fluctuations. Appl. Math. Comput. Ranjit Kumar Upadhyay, Chinmoy Paul, Argha Mondal, Gajendra K. Vishwakarma
2017	J	`jnl`	Back propagation neural networks and multiple regressions in the case of heteroskedasticity. Commun. Stat. Simul. Comput. Chinmoy Paul, Gajendra K. Vishwakarma
2014	J	`jnl`	A class of chain ratio-type exponential estimators in double sampling using two auxiliary variates. Appl. Math. Comput. Gajendra K. Vishwakarma, Raj K. Gangele
2007	J	`jnl`	A general procedure for estimating the mean using double sampling for stratification. Model. Assist. Stat. Appl. Housila P. Singh, Gajendra K. Vishwakarma
2006	J	`jnl`	An efficient variant of the product and ratio estimators in double sampling. Model. Assist. Stat. Appl. Housila P. Singh, Gajendra K. Vishwakarma