Shakti Prasad

@nitap.ac.in

Assistant Professor and Department of Basic & Applied Science
National Institute of Technology Arunachal Pradesh



              

https://researchid.co/shakti.pd

RESEARCH, TEACHING, or OTHER INTERESTS

Statistics and Probability, Statistics, Probability and Uncertainty

23

Scopus Publications

214

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Some New Efficient Linear Regression Ratio Type Estimators For Estimating The Population Mean In Sampling Theory
    Vinay Kumar Yadav and Shakti Prasad
    Sociedade Paranaense de Matemática
    This article deals with some new efficient linear regression ratio type estimators for estimating the population mean in sampling theory by using the auxiliary information of quartile deviation and deciles. The proposed estimators can be considered an efficient extension to the work of Kadilar and Cingi (Applied Mathematics and Computaton, 151, 893-902, 2004 \\ Hacettepe Journal of Mathematics and Statistics, 35 (1), 103-109, 2006) and the Subjar (World Applied Sciences Journal, 35 (3), 377-384, 2017). The theoretical results are derived, and a comparative study is conducted. The suggested estimators are shown to have smaller mean squared errors than the Kadilar and Cingi (2004 \\ 2006) and Subzar (2017) estimators. The percent relative efficiencies of the suggested estimators for various sample sizes are involved in simulation studies for a given natural population data set, and the results are found to be quite encouraging, providing an improvement over all previous work.

  • Generalized Factor-Type Exponential Estimators of Population mean in Sample Surveys
    Vinay Kumar Yadav, Shakti Prasad, and Subhash Kumar Yadav
    Sociedade Paranaense de Matemática
    The present article deals with a generalized class of estimators for estimating the population mean in sample surveys, employing various combinations of auxiliary variables and considering some values of characterizing constant alpha ranging from -1 to +1. The proposed estimator may be consider as an efficient extension to the work of Singh and Shukla (Metron, 45(1-2): 273-283, 1987), Bahl and Tuteja (Journal of information and optimization sciences, 12(1), 159-164, 1991) and Kadilar (Journal of Modern Applied Statistical Methods: Vol. 15 : Iss. 2 , Article 15, 2016). The sampling properties of the suggested estimators have been derived up to the first degree of large sample approximations. The suggested estimators are shown to have smaller mean squared errors than the existing exponential estimators considered in this paper. The percent relative efficiencies with respect to the usual mean estimator are calculated. An improvement has been shown over the existing exponential estimators through theoretical conditions as well as by a numerical and simulation study based on COVID-19 death in India.



  • Neutrosophic Estimators for Estimating the Population Mean in Survey Sampling
    Vinay Kumar Yadav and Shakti Prasad
    Informa UK Limited






  • Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory
    Shakti Prasad and Vinay Kumar Yadav
    Universidad Nacional de Colombia
     Some efficient product type exponential imputation methods are proposed in this article to tackle the problem of incomplete values in sampling theory. To investigate the effectiveness of proposed exponential methods, the behaviours of the considered estimators are compared in two scenarios: with and without nonresponse. The simulation studies show that the proposed resultant estimators outperform other existing estimators in this literature.



  • Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles
    Shakti Prasad
    Polskie Towarzystwo Statystyczne
    Abstract This paper deals some linear regression type ratio exponential estimators for estimating the population mean using the known values of quartile deviation and deciles of an auxiliary variable in survey sampling. The expressions of the bias and the mean square error of the suggested estimators have been derived. It was compared with the usual mean, usual ratio (Cochran (1977)), Kadilar and Cingi (2004, 2006) and Subzar et al. (2017) estimators. After comparison, the condition which makes the suggested estimators more efficient than others is found. To verify the theoretical results, numerical results are performed on two natural population data sets.

  • Exponential method of imputation for non-response in sample surveys


  • SOME EFFICIENT EXPONENTIAL ESTIMATORS FOR MISSING DATA IN SURVEY SAMPLING


  • Product exponential method of imputation in sample surveys
    Shakti Prasad
    Polskie Towarzystwo Statystyczne
    Abstract In this paper, a product exponential method of imputation has been suggested and their corresponding resultant point estimator has been proposed for estimating the population mean in sample surveys. The expression of bias and the mean square error of the suggested estimator has also been derived, up to the first order of large sample approximations. Compared with the mean imputation method, Singh and Deo (Statistical Papers (2003)) and Adapted estimator (Bahl and Tuteja (1991)), the simulation studies show that the suggested estimator is the most efficient estimator.

  • A study on new methods of ratio exponential type imputation in sample surveys
    Shakti Prasad
    Hacettepe University
    In this article, we have suggested new methods of ratio exponential type  imputation and proposed their corresponding point estimators to deal with the problems of non-response in sample surveys for the prior outlay  of an auxiliary variable $x$. The expression of the biases and their mean square errors of the proposed estimators have been derived, upto the fi rst order of large sample approximation under SRSWOR scheme and compared with the mean method of imputation, ratio method of impu tation, regression method of imputation and the estimators of Singh and Horn (Metrika [16]), Singh and Deo (Statistical Papers [15]), Touten burg et al. (Statistical Papers [18]), Singh (Statistics [17]) and Gira (Applied Mathematical Sciences [5]). After comparison, the condition which makes the proposed forty four estimators more efficient than others are found. To verify the theoretical results, simulation studies are performed on five real data sets.


  • Some estimation procedures using a linear model in successive sampling
    G. N. Singh and S. Prasad
    Informa UK Limited
    ABSTRACT In successive sampling some recent works depict the use of super-population models where information on stable auxiliary variable over occasions has been utilized. Stability character of auxiliary variable may not sustain, if the duration between occasions is large. To cope with such situations, the present work is an attempt to develop some estimation procedures by utilizing the information on two independent auxiliary variables through a linear super-population model. Some estimators are proposed to estimate the current population mean in two occasions successive (rotation) sampling. Optimum replacement strategies are formulated and performances of the proposed estimators have been discussed. Results are interpreted through empirical studies.

  • Effective rotation patterns under non response in two-occasion successive sampling
    G. N. Singh, D. Majhi, S. Prasad, and F. Homa
    Informa UK Limited
    This article intends to develop some effective rotation patterns with the aid of attractive imputation methods when the problems of non response occur in two-occasion successive sampling. Utilizing the information on p (p ⩾ 1) auxiliary variables regression methods of imputation have been considered and subsequently multiple linear regression type estimators are proposed to estimate the current population mean in two-occasion successive sampling. Proposed estimators are compared with the estimator for same situations but in the absence of non-response. Optimum replacement strategies of the respective estimators have been discussed and results are interpreted with the help of empirical studies. Conclusions and suitable recommendations are made.


  • Rotation patterns under imputation of missing data over two-occasion
    G. N. Singh, V. K. Singh, Priyanka, Shakti Prasad, and Jaishree Prabha Karna
    Informa UK Limited
    The present article intends to develop some imputation methods to reduce the impact of non response at both the occasions in two-occasion successive (rotation) sampling. Utilizing the auxiliary information, which is only available at the current occasion, estimators have been proposed for estimating the population mean at the current occasion. Estimators for the current occasion are also derived as a particular case when there is non response either on the first occasion or second occasion. Behaviors of the proposed estimators are studied and their respective optimum replacement policies are also discussed. To study the effectiveness of the suggested imputation methods, performances of the proposed estimators are compared in two different situations, with and without non response. The results obtained are demonstrated with the help of empirical studies.

  • Estimation of population mean in two-phase successive sampling
    G. N. Singh, D. Majhi, and S. Prasad
    IEEE
    In the present work an attempt to estimate population mean on the current occasion using two-phase successive (rotation) sampling on two occasions has been made. Two-phase ratio, regression and regression-type estimators for estimating the population mean on current (second) occasion have been proposed. Optimum replacement policies of the proposed estimators have been discussed. The proposed estimator are compared with sample mean estimator when there is no matching and the optimum estimator which is a linear combination of the means of the matched and unmatched portions of the sample at the current occasion. Empirical studies are carried out and suitable recommendations are made.

  • Some estimators of population mean in two-occasion rotation patterns


RECENT SCHOLAR PUBLICATIONS

  • Neutrosophic Mean Estimators Using Extreme Indeterminate Observations in Sample Surveys
    VK Yadav, D Majhi, A A Alkhathami, S Prasad
    Neutrosophic Sets and Systems 80 (1), 6 2025

  • Neutrosophic estimators for estimating the population mean in survey sampling
    VK Yadav, S Prasad
    Measurement: Interdisciplinary Research and Perspectives 22 (4), 373-397 2024

  • Spectra of four new Graphs join based on Subdivision and Central Graph
    MP Borah, KR Singh, S Prasad
    Journal of Computational Analysis and Applications (JoCAAA) 33 (05), 324-333 2024

  • Some Exponential Estimators in Sample Survey using Robust Regression Method in the Presence of Outliers
    V Kumar Yadav, S Prasad
    Lobachevskii Journal of Mathematics 45 (4), 1674-1690 2024

  • Some efficient ratio-type exponential estimators using the Robust regression's Huber M-estimation function
    VK Yadav, S Prasad
    Communications for Statistical Applications and Methods 31 (3), 291-308 2024

  • Generalized class of factor type exponential imputation techniques for population mean using simulation approach
    VK Yadav, S Prasad
    Journal of Statistical Computation and Simulation 94 (09), 1997-2039 2024

  • Exponential method of estimation in sampling theory under robust quantile regression methods
    VK Yadav, S Prasad
    Communications in Statistics-Theory and Methods 53 (17), 6285-6298 2024

  • A simulation based optimization of factor-type exponential estimators in sample surveys with coefficients of variation and kurtosis
    VK Yadav, S Prasad
    Franklin Open 5, 100050 2023

  • Neutrosophic estimators in two-phase survey sampling
    VK Yadav, SP Prasad
    Neutrosophic Sets and Systems 61 (1), 29 2023

  • Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory.
    S Prasada, VK Yadavb
    Colombian Journal of Statistics/Revista Colombiana de Estadstica 46 (1) 2023

  • Some Compromised Exponential Ratio Type Imputation Methods in Simple Random Sampling
    S Prasad
    Proceedings of the National Academy of Sciences, India Section A: Physical 2021

  • Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles
    S Prasad
    Statistics in Transition. New Series 21 (5), 85-98 2020

  • Exponential method of imputation for non-response in sample surveys
    S Prasad
    Pak. J. Statist 35 (2), 97-107 2019

  • Some efficient exponential estimators for missing data in survey sampling
    S Prasad
    Journal of Applied Probability and Statistics 13 (02), 105-118 2018

  • Product exponential method of imputation in sample surveys
    S Prasad
    Statistics in Transition New Series 19 (1), 159-166 2018

  • A Study on New Methods of Ratio Exponential Type Imputation in Sample Surveys
    S Prasad
    Hacettepe Journal of Mathematics and Statistics 47 (5), 1281-1301 2018

  • A Review on Support Vector Machines for Classification Problems
    B Richhariya, D Gupta, S Prasad, and, K Acharjee
    CiiT International Journal of Artificial Intelligent Systems and Machine 2017

  • Ratio exponential type estimators with imputation for missing data in sample surveys
    S Prasad
    Model Assisted Statistics & Applications 12 (2), 95-106 2017

  • An exponential imputation in the case of missing data
    S Prasad
    Journal of Statistics and Management Systems 20 (6), 1127-1140 2017

  • Some estimation procedures using a linear model in successive sampling
    GN Singh, S Prasad
    Communications in Statistics-Theory and Methods 45 (9), 2679-2698 2016

MOST CITED SCHOLAR PUBLICATIONS

  • A Study on New Methods of Ratio Exponential Type Imputation in Sample Surveys
    S Prasad
    Hacettepe Journal of Mathematics and Statistics 47 (5), 1281-1301 2018
    Citations: 25

  • A class of estimators for population variance in two occasion rotation patterns
    GN Singh, P Priyanka, S Prasad, S Singh, JM Kim
    Communications for Statistical Applications and Methods 20 (4), 247-257 2013
    Citations: 19

  • Some estimators of population mean in two- occasion rotation patterns
    GN Singh, and, S Prasad
    Association for the advancement of modeling & analysis 47 (02), 1-18 2010
    Citations: 19

  • Ratio exponential type estimators with imputation for missing data in sample surveys
    S Prasad
    Model Assisted Statistics & Applications 12 (2), 95-106 2017
    Citations: 16

  • Rotation patterns under imputation of missing data over two-occasion
    GN Singh, VK Singh, Priyanka, S Prasad, JP Karna
    Communications in Statistics-Theory and Methods 41 (10), 1857-1874 2012
    Citations: 14

  • Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory.
    S Prasada, VK Yadavb
    Colombian Journal of Statistics/Revista Colombiana de Estadstica 46 (1) 2023
    Citations: 12

  • Assessment of non-response under ratio method of imputation in two-occasion successive sampling
    GN Singh, D Majhi, S Prasad, F Homa
    Journal of Statistical Theory and Applications 12 (4), 403-418 2013
    Citations: 10

  • Best linear unbiased estimators of population mean on current occasion in two occasion rotation patterns, Vol. 14, No. 1, pp. 57-74.
    GN Singh, S Prasad
    Statistics in Transition-new series, Spring, 14 (1), 57-74 2013
    Citations: 10

  • Some rotation patterns in two-phase sampling, , Vol .12, No.1, pp.25-44.
    GN Singh, S Prasad
    Statistics in Transition-new series 12 (1), 25-44 2011
    Citations: 10

  • Neutrosophic estimators for estimating the population mean in survey sampling
    VK Yadav, S Prasad
    Measurement: Interdisciplinary Research and Perspectives 22 (4), 373-397 2024
    Citations: 8

  • Exponential method of estimation in sampling theory under robust quantile regression methods
    VK Yadav, S Prasad
    Communications in Statistics-Theory and Methods 53 (17), 6285-6298 2024
    Citations: 8

  • Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles
    S Prasad
    Statistics in Transition. New Series 21 (5), 85-98 2020
    Citations: 7

  • Best linear unbiased estimators of population variance in successive sampling
    GN Singh, S Prasad, D Majhi
    Model Assisted Statistics and Applications 7 (3), 169-178 2012
    Citations: 7

  • Some classes of estimators for population mean at current occasion in two-occasion successive sampling
    GN Singh, S Prasad, JP Karna
    Journal of Statistical Research 45 (1), 21 2011
    Citations: 7

  • An exponential imputation in the case of missing data
    S Prasad
    Journal of Statistics and Management Systems 20 (6), 1127-1140 2017
    Citations: 6

  • Some Compromised Exponential Ratio Type Imputation Methods in Simple Random Sampling
    S Prasad
    Proceedings of the National Academy of Sciences, India Section A: Physical 2021
    Citations: 5

  • Product exponential method of imputation in sample surveys
    S Prasad
    Statistics in Transition New Series 19 (1), 159-166 2018
    Citations: 5

  • On the use of multiple auxiliary variables in estimation of current population mean in two-occasion successive (rotation) sampling
    GN Singh, JP Karna, S Prasad
    Sri Lankan Journal of Applied Statistics 12 2012
    Citations: 5

  • Neutrosophic estimators in two-phase survey sampling
    VK Yadav, SP Prasad
    Neutrosophic Sets and Systems 61 (1), 29 2023
    Citations: 4

  • Exponential method of imputation for non-response in sample surveys
    S Prasad
    Pak. J. Statist 35 (2), 97-107 2019
    Citations: 4