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Classical and Bayesian Goodness-of-fit Tests for the Exponential Model: A Comparative Study

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Computational Science and Its Applications – ICCSA 2014 (ICCSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8581))

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Abstract

Most common statistical methodologies assume a parametric model for the data and inference is made based on that assumption. If the model does not fit the data, the resulting inference will be mislead. Thus, evaluation of the fitting of a proposed parametric statistical model to a given dataset becomes an important issue.

In several practical situations, namely in reliability and life sciences problems, the exponential model has been widely used and several classical tests were already proposed for its fitting evaluation. In this work we suggest two Bayesian tests when an exponential model is proposed to describe the data, and using a simulation study, we compare their power with the classical ones.

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Author information

Authors and Affiliations

  1. CIICESI, ESTGF-Polytechnic Institute of Porto, Felgueiras, Portugal

    Maria J. Polidoro

  2. ISCAP-Polytechnic Institute of Porto, Porto, Portugal

    Fernando J. Magalhães

  3. Faculty of Sciences, University of Lisboa, Lisboa, Portugal

    Maria A. Amaral Turkman

  4. CEAUL-Center of Statistics and Aplications, University of Lisboa, Lisboa, Portugal

    Maria J. Polidoro, Fernando J. Magalhães & Maria A. Amaral Turkman

Authors
  1. Maria J. Polidoro
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  2. Fernando J. Magalhães
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  3. Maria A. Amaral Turkman
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics,, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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© 2014 Springer International Publishing Switzerland

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Polidoro, M.J., Magalhães, F.J., Turkman, M.A.A. (2014). Classical and Bayesian Goodness-of-fit Tests for the Exponential Model: A Comparative Study. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8581. Springer, Cham. https://doi.org/10.1007/978-3-319-09150-1_35

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  • DOI: https://doi.org/10.1007/978-3-319-09150-1_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09149-5

  • Online ISBN: 978-3-319-09150-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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