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Kolmogorov-Smirnov Test Statistic and Critical Values for the Erlang-3 and Erlang-4 Distributions

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  • Neil Marks

Abstract

Following a procedure applied to the Erlang-2 distribution in a recent paper, an adjusted Kolmogorov-Smirnov statistic and critical values are developed for the Erlang-3 and -4 cases using data from Monte Carlo simulations. The test statistic produced features of compactness and ease of implementation. It is quite accurate for sample sizes as low as ten.

Suggested Citation

  • Neil Marks, 2007. "Kolmogorov-Smirnov Test Statistic and Critical Values for the Erlang-3 and Erlang-4 Distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(8), pages 899-906.
    • Handle: RePEc:taf:japsta:v:34:y:2007:i:8:p:899-906
    DOI: 10.1080/02664760701590640
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    Citations

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    Cited by:

    1. Fernández de Marcos Giménez de los Galanes, Alberto, 2022. "Data-driven stabilizations of goodness-of-fit tests," DES - Working Papers. Statistics and Econometrics. WS 35324, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. P. Luizi & F. Cruz & J. Graaf, 2010. "Assessing the Quality of Pseudo-Random Number Generators," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 57-67, June.
    3. Fernández-de-Marcos, Alberto & García-Portugués, Eduardo, 2023. "Data-driven stabilizations of goodness-of-fit tests," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).

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