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In this research paper, we have proposed logarithmic type estimator to estimate the population parameter using auxiliary information under simple random sampling. To determine the bias and mean square error of the suggested estimator have been presented up to the first degree of approximation. The estimated categories that have been suggested perform more effectively than comparable estimates for each unit when compared to other existing estimates. We have conducted an empirical demonstration to support the usefulness of the suggested estimators.”
Keywords:
Bias and Mean Square Error, Auxiliary Information, Simple Random Sampling.
Cite Article:
"An Efficient Generalized Logarithmic Type Estimator Using Probability Sampling ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a978-a981, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501118.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator