Browsing by Author "Shiwani Tiwari"

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Calibration approach-based estimator of population total under successive sampling design
(Taylor and Francis Ltd., 2024) Piyush Kant Rai; Shiwani Tiwari; Alka
The present article deals with the estimation of the finite population total on two occasions using a calibration approach. The estimators from different approaches on two successive occasions using calibration technique are obtained. Some of the properties of proposed estimators are also provided, including optimum composite weights and their sensitivity interval. An empirical study has been carried out using real data for numerical illustration to show the efficiency of the proposed calibrated estimator. In addition, a simulation study is also performed where proposed estimators are found to be more efficient than the other existing traditional estimators for different choices of tuning weights and composite weights under various sample proportions. © 2024 Taylor & Francis Group, LLC.
Calibration approach-based estimator of population total under successive sampling design
(Taylor and Francis Ltd., 2025) Piyush Kant Rai; Shiwani Tiwari; Alka
The present article deals with the estimation of the finite population total on two occasions using a calibration approach. The estimators from different approaches on two successive occasions using calibration technique are obtained. Some of the properties of proposed estimators are also provided, including optimum composite weights and their sensitivity interval. An empirical study has been carried out using real data for numerical illustration to show the efficiency of the proposed calibrated estimator. In addition, a simulation study is also performed where proposed estimators are found to be more efficient than the other existing traditional estimators for different choices of tuning weights and composite weights under various sample proportions. © 2024 Taylor & Francis Group, LLC.
Calibration based chain ratio-type estimator of population total under successive sampling
(Springer, 2024) Shiwani Tiwari; Alka; Piyush Kant Rai
This article suggests a chain ratio-type estimator of population total based on calibration that takes into account auxiliary variables present on both occasions, and information on the study variable is not available on the first occasion. The optimal composite weights to choose, together with their performance range, are presented along with the bias expression. An empirical and simulation-based study is used to evaluate the effectiveness of the suggested estimator. The studies demonstrate that the proposed estimator outperforms the other estimators for various composite weight selections with varying matched and unmatched sample sizes. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024.
CALIBRATION ESTIMATOR OF POPULATION MEAN UNDER STRATIFIED SYSTEMATIC SAMPLING DESIGN
(DAV College, 2021) Alka; Emmanuel John Ekpenyong; Piyush Kant Rai; Shiwani Tiwari
The calibration estimation technique is widely used in survey sampling for improving the precision of population parameter estimates. In this paper, a calibrated mean estimator using stratified systematic sampling design is proposed and the expressions for theoretical bias and theoretical variance are derived. A simulation study along with real-life application based analysis is conducted where the percent relative efficiency (PRE) is considered as a performance criterion. Based on the results, the proposed estimator is found to be more efficient than the usual mean estimators and the calibrated mean estimator developed by Tracy et al. (2003). © 2021 DAV College. All rights reserved.
Class of composite estimators of population total using calibration estimation based on matched and unmatched sample under successive sampling
(Taylor and Francis Ltd., 2025) Alka; Shiwani Tiwari; Piyush Kant Rai; Emmanuel John Ekpenyong
This paper develops a class of composite estimators for the finite population total in successive occasions using calibration technique. Empirical studies were carried out using real and simulated data to show the efficiency of the proposed calibrated estimators using various criteria. The proposed estimators were found to be more efficient than the other existing traditional estimator for different choices of tuning weights and composite weights under various sample proportions. © 2025 Informa UK Limited, trading as Taylor & Francis Group.