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International Econometric Conference of Vietnam

ECONVN 2018: Econometrics for Financial Applications pp 298–308Cite as

Simultaneous Confidence Intervals for All Differences of Means of Two-Parameter Exponential Distributions

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 760))

Abstract

For constructing simultaneous confidence intervals for the differences of means of several two-parameter exponential distributions, generalized confidence interval (GCI) approach and method of variance estimates recovery (MOVER) approach are proposed. The performance of the proposed approaches is compared with parametric bootstrap (PB) approach. Simulation studies showed that the MOVER approach performs better than the other approaches: its coverage probability is close to the nominal confidence level and average length is shorter than the other approaches. Three approaches are illustrated using an example.

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Author information

Authors and Affiliations

  1. Department of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, 10800, Thailand

    Warisa Thangjai, Sa-Aat Niwitpong & Suparat Niwitpong

Authors
  1. Warisa Thangjai
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  2. Sa-Aat Niwitpong
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  3. Suparat Niwitpong
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Corresponding author

Correspondence to Warisa Thangjai .

Editor information

Editors and Affiliations

  1. Banking University HCMC, Ho Chi Minh City, Vietnam

    Ly H. Anh

  2. Banking University HCMC, Ho Chi Minh City, Vietnam

    Le Si Dong

  3. Computer Science Department, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  4. Banking University HCMC, Ho Chi Minh City, Vietnam

    Nguyen Ngoc Thach

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Thangjai, W., Niwitpong, SA., Niwitpong, S. (2018). Simultaneous Confidence Intervals for All Differences of Means of Two-Parameter Exponential Distributions. In: Anh, L., Dong, L., Kreinovich, V., Thach, N. (eds) Econometrics for Financial Applications. ECONVN 2018. Studies in Computational Intelligence, vol 760. Springer, Cham. https://doi.org/10.1007/978-3-319-73150-6_24

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  • DOI: https://doi.org/10.1007/978-3-319-73150-6_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73149-0

  • Online ISBN: 978-3-319-73150-6

  • eBook Packages: EngineeringEngineering (R0)

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