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Quantile-Quantile Plots and Goodness-of-Fit Test

In: Handbook of Tables for Order Statistics from Lognormal Distributions with Applications

Author

Listed:
  • N. Balakrishnan

    (McMaster University, Department of Mathematics and Statistics)

  • William W. S. Chen

    (Internal Revenue Service)

Abstract

In any statistical study based on the assumption of particular distribution for the data at hand, one will naturally be interested in assessing the validity of that assumption; more specifically, one will be interested in testing for the hypothesis that the data has come from that specific distribution wherein only the functional form of the distribution is assumed to be known while it may involve some unknown parameters. For example, we may be interested in testing whether the data at hand has possibly arisen from the three-parameter lognormal distribution in (4.1), wherein we may assume that all three parameters μ, σ and k are unknown.

Suggested Citation

  • N. Balakrishnan & William W. S. Chen, 1999. "Quantile-Quantile Plots and Goodness-of-Fit Test," Springer Books, in: Handbook of Tables for Order Statistics from Lognormal Distributions with Applications, chapter 7, pages 39-40, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4615-5309-0_7
    DOI: 10.1007/978-1-4615-5309-0_7
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