Subhash Kumar Yadav

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
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
Optimal strategy for improved estimation of population mean of sensitive variable using non-sensitive auxiliary variable.
J. Big Data
Abdullah A. Zaagan, Dinesh K. Sharma, Ali M. Mahnashi, Mutum Zico Meetei, Subhash Kumar Yadav, Aakriti Sharma, Pranav Sharma
2024 J jnl
Adroit family of estimators of population mean using known auxiliary parameters.
J. Comput. Appl. Math.
Rohini Yadav, Housila P. Singh, Lakshmi N. Upadhyaya, Subhash Kumar Yadav
2024 J jnl
Improved memory-type ratio estimator for population mean in stratified random sampling under linear and non-linear cost functions.
Soft Comput.
Arun Pal, Rahul Varshney, Subhash Kumar Yadav, Tolga Zaman
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
Generalised classes of estimators for population mean of sensitive variable using non-sensitive auxiliary parameters.
Int. J. Math. Model. Numer. Optimisation
Subhash Kumar Yadav, Amit Kumar Misra, Tarushree Bari
2022 J jnl
Improvement in estimation of population variance utilising known auxiliary parameters for a decision-making model.
Int. J. Math. Model. Numer. Optimisation
Dinesh K. Sharma, Subhash Kumar Yadav, Hari Sharma
2022 J jnl
On enhanced estimation and monitoring of population variance using robust auxiliary parameters based estimators.
Concurr. Comput. Pract. Exp.
Subhash Kumar Yadav, Shabbir Ahmad, Muhammad Riaz
2022 J jnl
Optimal generalised Searls estimation procedure of population mean under ranked set sampling scheme.
Int. J. Math. Oper. Res.
Dinesh K. Sharma, Subhash Kumar Yadav
2022 J jnl
Restructured searls family of estimators of population mean in the presence of nonresponse.
Frontiers Appl. Math. Stat.
Abdullah Ali H. Ahmadini, Taruna Yadav, Subhash Kumar Yadav, Asamh Saleh M. Al Luhayb
2022 J jnl
Robust ratio-type estimators for finite population mean in simple random sampling: A simulation study.
Concurr. Comput. Pract. Exp.
Tolga Zaman, Hasan Bulut, Subhash Kumar Yadav
2022 J jnl
Searls estimation strategy for population mean of a sensitive study variable harnessing non-sensitive auxiliary information.
Int. J. Math. Oper. Res.
Subhash Kumar Yadav, Amit Kumar Misra, Tarushree Bari
2021 J jnl
Algorithmic approach to time-cost analysis of queued commodity flowing through critical path.
Int. J. Math. Oper. Res.
Prem Prakash Mishra, Thangavel Poongodi, Subhash Kumar Yadav, S. S. Mishra
2021 J jnl
Efficient estimation of population mean under stratified random sampling with linear cost function.
Commun. Stat. Simul. Comput.
Mradula, Subhash Kumar Yadav, Rahul Varshney, Madhulika Dube
2021 J jnl
New family of estimators for population mean using regression-cum-ratio exponential estimators.
Int. J. Math. Oper. Res.
Subhash Kumar Yadav, Cem Kadilar, Dinesh K. Sharma
2021 J jnl
Upgraded family of estimators of population mean using known parameters of auxiliary and study variables.
Int. J. Math. Model. Numer. Optimisation
Subhash Kumar Yadav, Dinesh K. Sharma, Shanya Baghel
2014 J jnl
A two parameter variance estimator using auxiliary information.
Appl. Math. Comput.
Subhash Kumar Yadav, Cem Kadilar
2013 J jnl
Improved class of ratio and product estimators.
Appl. Math. Comput.
Subhash Kumar Yadav, Cem Kadilar