NEW CALIBRATION OF FINITE POPULATION MEAN OF COMBINED RATIO ESTIMATORS IN STRATIFIED RANDOM SAMPLING

  • Jamiu Olasunkanmi Muili +2348062716248
  • R. V. K. Singh Kebbi State University of Science and Technology Aliero, Nigeria
  • G. I. Onwuka Kebbi State University of Science and Technology Aliero, Nigeria
  • A. Audu Usmanu Danfodiyo University, Sokoto, Nigeria
DOI: https://doi.org/10.33003/fjs-2022-0604-920
Keywords: Calibration weights, Combined Ratio, Estimators, Mean Squared Error, Stratified Sampling

Abstract

This study deals with using calibration estimation approaches to modified the combined ratio estimator in stratified random sampling. Calibration distance measures with their associate constraints were used to modify combined ratio estimator. In stratified random sampling, new sets of optimum calibration weights are created and used to obtain new calibration estimators of population mean.  Empirical study through simulation was conducted to look into the efficiency of the suggested estimators obtained. The suggested calibration estimators are more efficient than other existing estimators investigated in the study, according to the findings.

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Published
2022-08-18
How to Cite
MuiliJ. O., SinghR. V. K., OnwukaG. I., & AuduA. (2022). NEW CALIBRATION OF FINITE POPULATION MEAN OF COMBINED RATIO ESTIMATORS IN STRATIFIED RANDOM SAMPLING. FUDMA JOURNAL OF SCIENCES, 6(4), 37 - 44. https://doi.org/10.33003/fjs-2022-0604-920
Issue
Vol. 6 No. 4 (2022): FUDMA Journal of Sciences - Vol. 6 No. 4
Section
Research Articles

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