Table of Contents
Corrigendum

A corrigendum for this article has been published. To view the corrigendum, please click here.

Corrigendum
Letter to the Editor
Advances in Decision Sciences
Volume 2012, Article ID 150303, 9 pages
http://dx.doi.org/10.1155/2012/150303
Research Article

Comparison of Some Tests of Fit for the Inverse Gaussian Distribution

1School of Mathematical and Physical Sciences, University of Newcastle, NSW 2308, Australia
2Centre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, NSW 2522, Australia
3Department of Mathematical Modelling, Statistics and Bioinformatics, 9000 Gent, Belgium

Received 27 April 2012; Revised 18 July 2012; Accepted 26 July 2012

Academic Editor: Shelton Peiris

Copyright © 2012 D. J. Best et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. V. Seshadri, The Inverse Gaussian Distribution: Statistical Theory & Applications, Springer, New York, NY, USA, 1998.
  2. G. R. Ducharme, “Goodness-of-fit tests for the inverse Gaussian and related distributions,” Test, vol. 10, no. 2, pp. 271–290, 2001. View at Google Scholar · View at Scopus
  3. N. Henze and B. Klar, “Goodness-of-fit tests for the inverse Gaussian distribution based on the empirical Laplace transform,” Annals of the Institute of Statistical Mathematics, vol. 54, no. 2, pp. 425–444, 2002. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Vexler, G. Shan, S. Kim, W. M. Tsai, L. Tian, and A. D. Hutson, “An empirical likelihood ratio based goodness-of-fit test for Inverse Gaussian distributions,” Journal of Statistical Planning and Inference, vol. 141, no. 6, pp. 2128–2140, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. J. C. W. Rayner, O. Thas, and D. J. Best, Smooth Tests of Goodness of Fit: Using R, Wiley, Singapore, 2nd edition, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. B. Choi and K. Kim, “Testing goodness-of-fit for Laplace distribution based on maximum entropy,” Statistics, vol. 40, no. 6, pp. 517–531, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. J. Michaels, W. Schucany, and R. Haas, “Generating random deviates using transformations with multiple roots,” American Statistician, vol. 30, no. 2, pp. 88–90, 1976. View at Google Scholar
  8. F. Proschan, “Theoretical explanation of observed decreasing failure rate,” Technometrics, vol. 5, no. 3, pp. 375–383, 1963. View at Google Scholar · View at Scopus
  9. A. Ang and W. H. Tang, Probability Concepts in Engineering, Wiley, New York, NY, USA, 2nd edition, 2007.