research-article

Confidence Intervals for Coefficient of Variation of Inverse Gaussian Distribution

Authors:

Wasana Chankham,

Sa-Aat Niwitpong,

Suparat NiwitpongAuthors Info & Claims

ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal Processing

Article No.: 73, Pages 1 - 6

https://doi.org/10.1145/3387168.3387254

Published: 25 May 2020 Publication History

Abstract

The coefficient of variation is an useful indicator to measure and compare separated data in different units. This paper proposes the new confidence interval for the single coefficient of variation and the difference between coefficients of variation of Inverse Gaussian distribution using the generalized confidence interval (GCI) and the bootstrap percentile confidence interval. A Monte Carlo simulation is used to construct and compare the performance of these confidence intervals based on the coverage probability and average length. The results of the simulation study showed that the GCI is an appropriate method to construct the confidence interval for the single coefficient of variation and the difference between coefficients of variation. The proposed approaches are illustrated based on the real data.

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Cited By

Khumpasee WNiwitpong SNiwitpong S(2024)Confidence Intervals for the Coefficient of Variation in Delta Inverse Gaussian DistributionsSymmetry10.3390/sym1611148816:11(1488)Online publication date: 7-Nov-2024
https://doi.org/10.3390/sym16111488
Chankham WNiwitpong SNiwitpong S(2022)Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distributionPeerJ10.7717/peerj.1298810(e12988)Online publication date: 17-Feb-2022
https://doi.org/10.7717/peerj.12988

Index Terms

Confidence Intervals for Coefficient of Variation of Inverse Gaussian Distribution
1. Mathematics of computing
  1. Probability and statistics
    1. Probabilistic inference problems
      1. Hypothesis testing and confidence interval computation

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cover image ACM Other conferences

ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal Processing

August 2019

584 pages

ISBN:9781450376259

DOI:10.1145/3387168

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 25 May 2020

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ICVISP 2019

ICVISP 2019: 3rd International Conference on Vision, Image and Signal Processing

August 26 - 28, 2019

BC, Vancouver, Canada

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ICVISP 2019 Paper Acceptance Rate 126 of 277 submissions, 45%;

Overall Acceptance Rate 186 of 424 submissions, 44%

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Cited By

Khumpasee WNiwitpong SNiwitpong S(2024)Confidence Intervals for the Coefficient of Variation in Delta Inverse Gaussian DistributionsSymmetry10.3390/sym1611148816:11(1488)Online publication date: 7-Nov-2024
https://doi.org/10.3390/sym16111488
Chankham WNiwitpong SNiwitpong S(2022)Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distributionPeerJ10.7717/peerj.1298810(e12988)Online publication date: 17-Feb-2022
https://doi.org/10.7717/peerj.12988

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