Awwal adejumobi - Academia.edu (original) (raw)

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Papers by Awwal adejumobi

Research paper thumbnail of An Efficient Exponential Estimator of Population Mean in the Presence of Median of the Study Variable

Zenodo (CERN European Organization for Nuclear Research), Jan 6, 2023

Research paper thumbnail of Logarithmic-Product-Cum-Ratio Type Estimator for Estimating Finite Population Coefficient of Variation

Oriental Journal of Physical Sciences, 2022

Estimation of population parameters have been a challenging aspect in sample survey for sometimes... more Estimation of population parameters have been a challenging aspect in sample survey for sometimes and many efforts have been made to enhance the exactness of the parameters of these estimators. We suggested the logarithmic-product-cum-ratio type estimator. Expression of the MSE of the intended estimator originated using the Taylor series technique. A numerical illustration was conducted and the results revealed that the modified work is ameliorated than sample means with other estimators observed.

Research paper thumbnail of Logarithmic-Product-Cum-Ratio Type Estimator for Estimating Finite Population Coefficient of Variation

Oriental Journal of Physical Sciences

Estimation of population parameters have been a challenging aspect in sample survey for sometimes... more Estimation of population parameters have been a challenging aspect in sample survey for sometimes and many efforts have been made to enhance the exactness of the parameters of these estimators. We suggested the logarithmic-product-cum-ratio type estimator. Expression of the MSE of the intended estimator originated using the Taylor series technique. A numerical illustration was conducted and the results revealed that the modified work is ameliorated than sample means with other estimators observed.

Research paper thumbnail of Some Improved Class of Ratio Estimators for Finite Population Variance with the Use of Known Parameters

CERN European Organization for Nuclear Research - Zenodo, Oct 6, 2022

In this paper, we proposed some improved class of ratio estimators for finite population variance... more In this paper, we proposed some improved class of ratio estimators for finite population variance with the use of known parameters. The proposed estimators are obtained by transforming both the sample variances of the study and auxiliary variables, as well as the use of known parameters. The Mean Square Error of the proposed estimators have been obtained and the conditions for their efficiency over some existing variance estimators have been established. The present family of finite variance estimator, having obtaining the optimal values of the constants, exhibit significant improvement over the estimators considered in the study. The empirical study is also conducted to support the theoretical results and the results revealed that the suggested estimators are more efficient.

Research paper thumbnail of Improved Modified Classes of Regression Type Estimators of Finite Population Mean in the Presence of Auxiliary Attribute

Oriental Journal of Physical Sciences

In this research, estimators are suggested to improve modified classes of regression type estimat... more In this research, estimators are suggested to improve modified classes of regression type estimators of finite population mean. The essence of proposing the estimators is as a result of the assumption that there may be weak relationship between study variable and auxiliary attribute. Properties (Biases and MSEs) of the proposed estimators are procured using Taylor series method. The efficiency conditions under which the proposed estimators are better than other related ones are established. Empirical findings are incentive and the results shown that the proposed estimators are more proficient compare to the existing estimators considered in the study.

Research paper thumbnail of An Efficient Exponential Estimator of Population Mean in the Presence of Median of the Study Variable

Zenodo (CERN European Organization for Nuclear Research), Jan 6, 2023

Research paper thumbnail of Logarithmic-Product-Cum-Ratio Type Estimator for Estimating Finite Population Coefficient of Variation

Oriental Journal of Physical Sciences, 2022

Estimation of population parameters have been a challenging aspect in sample survey for sometimes... more Estimation of population parameters have been a challenging aspect in sample survey for sometimes and many efforts have been made to enhance the exactness of the parameters of these estimators. We suggested the logarithmic-product-cum-ratio type estimator. Expression of the MSE of the intended estimator originated using the Taylor series technique. A numerical illustration was conducted and the results revealed that the modified work is ameliorated than sample means with other estimators observed.

Research paper thumbnail of Logarithmic-Product-Cum-Ratio Type Estimator for Estimating Finite Population Coefficient of Variation

Oriental Journal of Physical Sciences

Estimation of population parameters have been a challenging aspect in sample survey for sometimes... more Estimation of population parameters have been a challenging aspect in sample survey for sometimes and many efforts have been made to enhance the exactness of the parameters of these estimators. We suggested the logarithmic-product-cum-ratio type estimator. Expression of the MSE of the intended estimator originated using the Taylor series technique. A numerical illustration was conducted and the results revealed that the modified work is ameliorated than sample means with other estimators observed.

Research paper thumbnail of Some Improved Class of Ratio Estimators for Finite Population Variance with the Use of Known Parameters

CERN European Organization for Nuclear Research - Zenodo, Oct 6, 2022

In this paper, we proposed some improved class of ratio estimators for finite population variance... more In this paper, we proposed some improved class of ratio estimators for finite population variance with the use of known parameters. The proposed estimators are obtained by transforming both the sample variances of the study and auxiliary variables, as well as the use of known parameters. The Mean Square Error of the proposed estimators have been obtained and the conditions for their efficiency over some existing variance estimators have been established. The present family of finite variance estimator, having obtaining the optimal values of the constants, exhibit significant improvement over the estimators considered in the study. The empirical study is also conducted to support the theoretical results and the results revealed that the suggested estimators are more efficient.

Research paper thumbnail of Improved Modified Classes of Regression Type Estimators of Finite Population Mean in the Presence of Auxiliary Attribute

Oriental Journal of Physical Sciences

In this research, estimators are suggested to improve modified classes of regression type estimat... more In this research, estimators are suggested to improve modified classes of regression type estimators of finite population mean. The essence of proposing the estimators is as a result of the assumption that there may be weak relationship between study variable and auxiliary attribute. Properties (Biases and MSEs) of the proposed estimators are procured using Taylor series method. The efficiency conditions under which the proposed estimators are better than other related ones are established. Empirical findings are incentive and the results shown that the proposed estimators are more proficient compare to the existing estimators considered in the study.

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