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

Authors

  • 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

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.

Dimensions

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Published

18-08-2022

How to Cite

NEW CALIBRATION OF FINITE POPULATION MEAN OF COMBINED RATIO ESTIMATORS IN STRATIFIED RANDOM SAMPLING. (2022). 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
Copyright & Licensing

FUDMA Journal of Sciences

How to Cite

NEW CALIBRATION OF FINITE POPULATION MEAN OF COMBINED RATIO ESTIMATORS IN STRATIFIED RANDOM SAMPLING. (2022). FUDMA JOURNAL OF SCIENCES, 6(4), 37-44. https://doi.org/10.33003/fjs-2022-0604-920

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