Improved class of ratio and product estimators. - Subhash Kumar Yadav; Cem Kadilar (Appl. Math. Comput., 2013)

A two parameter variance estimator using auxiliary information. - Subhash Kumar Yadav; Cem Kadilar (Appl. Math. Comput., 2014)

Efficient estimation of population mean under stratified random sampling with linear cost function. - Mradula; Subhash Kumar Yadav; Rahul Varshney; Madhulika Dube (Commun. Stat. Simul. Comput., 2021)

Upgraded family of estimators of population mean using known parameters of auxiliary and study variables. - Subhash Kumar Yadav; Dinesh K. Sharma; Shanya Baghel (Int. J. Math. Model. Numer. Optimisation, 2021)

Algorithmic approach to time-cost analysis of queued commodity flowing through critical path. - Prem Prakash Mishra; Thangavel Poongodi; Subhash Kumar Yadav; S. S. Mishra (Int. J. Math. Oper. Res., 2021)

New family of estimators for population mean using regression-cum-ratio exponential estimators. - Subhash Kumar Yadav; Cem Kadilar; Dinesh K. Sharma (Int. J. Math. Oper. Res., 2021)

On enhanced estimation and monitoring of population variance using robust auxiliary parameters based estimators. - Subhash Kumar Yadav; Shabbir Ahmad; Muhammad Riaz 001 (Concurr. Comput. Pract. Exp., 2022)

Robust ratio-type estimators for finite population mean in simple random sampling: A simulation study. - Tolga Zaman; Hasan Bulut; Subhash Kumar Yadav (Concurr. Comput. Pract. Exp., 2022)

Restructured searls family of estimators of population mean in the presence of nonresponse. - Abdullah Ali H. Ahmadini; Taruna Yadav; Subhash Kumar Yadav; Asamh Saleh M. Al Luhayb (Frontiers Appl. Math. Stat., 2022)

Improvement in estimation of population variance utilising known auxiliary parameters for a decision-making model. - Dinesh K. Sharma; Subhash Kumar Yadav; Hari Sharma (Int. J. Math. Model. Numer. Optimisation, 2022)

Generalised classes of estimators for population mean of sensitive variable using non-sensitive auxiliary parameters. - Subhash Kumar Yadav; Amit Kumar Misra; Tarushree Bari (Int. J. Math. Model. Numer. Optimisation, 2022)

Optimal generalised Searls estimation procedure of population mean under ranked set sampling scheme. - Dinesh K. Sharma; Subhash Kumar Yadav (Int. J. Math. Oper. Res., 2022)

Searls estimation strategy for population mean of a sensitive study variable harnessing non-sensitive auxiliary information. - Subhash Kumar Yadav; Amit Kumar Misra; Tarushree Bari (Int. J. Math. Oper. Res., 2022)

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)

Adroit family of estimators of population mean using known auxiliary parameters. - Rohini Yadav; Housila P. Singh; Lakshmi N. Upadhyaya; Subhash Kumar Yadav (J. Comput. Appl. Math., 2024)

Improved memory-type ratio estimator for population mean in stratified random sampling under linear and non-linear cost functions. - Arun Pal; Rahul Varshney; Subhash Kumar Yadav; Tolga Zaman (Soft Comput., 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)

Optimal strategy for improved estimation of population mean of sensitive variable using non-sensitive auxiliary variable. - Abdullah A. Zaagan; Dinesh K. Sharma; Ali M. Mahnashi; Mutum Zico Meetei; Subhash Kumar Yadav; Aakriti Sharma; Pranav Sharma (J. Big Data, 2025)