Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/219291 
Year of Publication: 
2018
Citation: 
[Journal:] CBN Journal of Applied Statistics [ISSN:] 2476-8472 [Volume:] 09 [Issue:] 2 [Publisher:] The Central Bank of Nigeria [Place:] Abuja [Year:] 2018 [Pages:] 1-16
Publisher: 
The Central Bank of Nigeria, Abuja
Abstract: 
This paper incorporates the variance of auxiliary variables to propose three improved ratio estimators of population mean. To enhance the efficiency of the proposed ratio estimators, a linear combination of the population coefficient of variation, kurtosis, skewness and the population variance of the auxiliary variable is harnessed. The properties relating to the suggested estimators are assessed using constant, bias and mean square error. We also provided practical study for illustration and corroboration using a population data consisting of the fixed capital, which is the supporting variable and output of 80 factories which are the study variables. The suggested improved ratio estimators performed better than other ratio estimators in the literature when compared using bias and mean square error.
Subjects: 
Auxiliary Variable
Kurtosis
Mean Ratio Estimators
Skewness
Variance
JEL: 
C02
C13
C83
Persistent Identifier of the first edition: 
Document Type: 
Article

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