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Auxiliary information is commonly used to improve the accuracy of the estimators, when estimating unknown population parameters. The present work suggested regression cum exponential quadratic product type estimator of the population mean in double sampling. The expression for the bias and mean square error (MSE) of the envisaged estimator were accomplished under first order of approximation. Further, empirical analysis exhibited that, when using a double sampling scheme, the envisaged estimator outperform other pertinent current estimators.
Keywords:
Estimator, Double sampling, Product type, Population mean
Cite Article:
"Regression Cum Exponential Type Estimator In Double Sampling", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 1, page no.184 - 187, January-2023, Available :http://www.ijrti.org/papers/IJRTI2301029.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
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