An efficient variant of the product and ratio estimators in double sampling. - Housila P. Singh; Gajendra K. Vishwakarma (Model. Assist. Stat. Appl., 2006)

A general procedure for estimating the mean using double sampling for stratification. - Housila P. Singh; Gajendra K. Vishwakarma (Model. Assist. Stat. Appl., 2007)

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)

Back propagation neural networks and multiple regressions in the case of heteroskedasticity. - Chinmoy Paul; Gajendra K. Vishwakarma (Commun. Stat. Simul. Comput., 2017)

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)

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)

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)

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)

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)

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)

Computing the effect of measurement errors under additive scramble response of the sensitive variable. - Gajendra K. Vishwakarma; Neha Singh (J. Comput. Appl. Math., 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 on ranked set sampling estimators of the population mean. - Gajendra K. Vishwakarma; Abhishek Singh (Concurr. Comput. Pract. Exp., 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)

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)

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 001 (Commun. Stat. Simul. Comput., 2022)

Shrinkage estimator for scale parameter of gamma distribution. - Gajendra K. Vishwakarma; Shubham Gupta (Commun. Stat. Simul. Comput., 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)

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., 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., 2022)

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)

An automated robust algorithm for clustering multivariate data. - Gajendra K. Vishwakarma; Chinmoy Paul; Ali S. Hadi; Ahmed M. Elsawah (J. Comput. Appl. Math., 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., 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., 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., 2023)

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)

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., 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., 2024)

Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute. - Gajendra K. Vishwakarma; Amod Kumar; Neelesh Kumar (Comput. Stat., 2024)

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)

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., 2025)

Input-output space-filling representative points for clustering, modeling, and estimation. - Ahmed M. Elsawah; Barkahoum Laala; Gajendra K. Vishwakarma (J. Comput. Appl. Math., 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)