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A sequential discrimination procedure for two almost identically shaped wrapped distributions

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  • Mian Arif Shams Adnan
  • Shongkour Roy

Abstract

The way of investigating a distribution knowing its interesting properties might be often inadequate when the shapes of two distributions are almost similar. In each of these circumstances, the accurate decision about the genesis of a random sample from any of the two parent distributions will be very much ambiguous even with the availability of the existing testing procedure of the circular data. A sequential discrimination procedure has been suggested which is also invariant to the sample size. The performance of the proposed discrimination procedure has been evaluated by checking its capability of detecting the genesis of the known samples from the two identically shaped wrapped distributions.

Suggested Citation

  • Mian Arif Shams Adnan & Shongkour Roy, 2017. "A sequential discrimination procedure for two almost identically shaped wrapped distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(5), pages 872-881, April.
    • Handle: RePEc:taf:japsta:v:44:y:2017:i:5:p:872-881
    DOI: 10.1080/02664763.2016.1189516
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