Improved Small Sample Inference on the Ratio of Two Coefficients of Variation of Two Independent Lognormal Distributions

Joint Authors

Wong, Augustine C. M.
Jiang, L.

Source

Journal of Probability and Statistics

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-03-03

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract EN

Without the ability to use research tools and procedures that yield consistent measurements, researchers would be unable to draw conclusions, formulate theories, or make claims about generalizability of their results.

In statistics, the coefficient of variation is commonly used as the index of reliability of measurements.

Thus, comparing coefficients of variation is of special interest.

Moreover, the lognormal distribution has been frequently used for modeling data from many fields such as health and medical research.

In this paper, we proposed a simulated Bartlett corrected likelihood ratio approach to obtain inference concerning the ratio of two coefficients of variation for lognormal distribution.

Simulation studies show that the proposed method is extremely accurate even when the sample size is small.

American Psychological Association (APA)

Wong, Augustine C. M.& Jiang, L.. 2019. Improved Small Sample Inference on the Ratio of Two Coefficients of Variation of Two Independent Lognormal Distributions. Journal of Probability and Statistics،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1186862

Modern Language Association (MLA)

Wong, Augustine C. M.& Jiang, L.. Improved Small Sample Inference on the Ratio of Two Coefficients of Variation of Two Independent Lognormal Distributions. Journal of Probability and Statistics No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1186862

American Medical Association (AMA)

Wong, Augustine C. M.& Jiang, L.. Improved Small Sample Inference on the Ratio of Two Coefficients of Variation of Two Independent Lognormal Distributions. Journal of Probability and Statistics. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1186862

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1186862