Subhash Kumar Yadav

According to our database, Subhash Kumar Yadav authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, December, 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

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., July, 2024

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., February, 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

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

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

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

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

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

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

On enhanced estimation and monitoring of population variance using robust auxiliary parameters based estimators.

Subhash Kumar Yadav, Shabbir Ahmad, Muhammad Riaz

Concurr. Comput. Pract. Exp., 2022

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

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

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

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

2014

A two parameter variance estimator using auxiliary information.

Subhash Kumar Yadav, Cem Kadilar

Appl. Math. Comput., 2014

2013

Improved class of ratio and product estimators.

Subhash Kumar Yadav, Cem Kadilar

Appl. Math. Comput., 2013