ERIC Number: EJ1477807
Record Type: Journal
Publication Date: 2025
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1536-6367
EISSN: EISSN-1536-6359
Available Date: 0000-00-00
Proportion Estimation Using Enhanced Class of Estimators under Simple Random Sampling: Application with Real Data Sets and Simulation
Measurement: Interdisciplinary Research and Perspectives, v23 n3 p297-309 2025
This study aims to suggest a generalized class of estimators for population proportion under simple random sampling, which uses auxiliary attributes. The bias and MSEs are considered derived to the first degree approximation. The validity of the suggested and existing estimators is assessed via an empirical investigation. The performance of estimators has been evaluated using real data sets and a simulation study. We found that the suggested estimators have minimum mean squared error (MSE) and a higher percentage relative efficiency when compared to existing estimators based on real data sets and simulation studies. The suggested estimator performs better than the existing ones, according to the theoretical and empirical findings.
Descriptors: Computation, Sampling, Data Collection, Data Analysis, Simulation, Statistical Bias, Mathematical Formulas
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Department of statistics, Abdul Wali Khan University; 2Statistics, Quaid-i-Azam University