Statistical power of an information-based test and its application to wave height data

SEZER A., ASMA Ş.

COMPUTERS & GEOSCIENCES, cilt.36, sa.10, ss.1316-1324, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 10
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1016/j.cageo.2010.03.015
  • Dergi Adı: COMPUTERS & GEOSCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1316-1324
  • Anahtar Kelimeler: Hypothesis testing, Information measure, Power curves, Likelihood ratio test, Wave height data
  • Anadolu Üniversitesi Adresli: Evet

Özet

Modeling wave heights is crucial for many maritime applications. An appropriate statistical distribution for describing wave heights is the Rayleigh distribution. Estimating and testing the significance of the parameters of a distribution are important in statistical modeling and allow meaningful predictions about uncertain events. We propose an information-based method to test the significance of parameters of a given one-dimensional distribution. The power of the proposed test is compared to that of the likelihood ratio tests for hypotheses on the parameters of the exponential and Rayleigh distributions. Monte Carlo simulations demonstrate that the proposed method yields a satisfactory power level that is comparable to that of the likelihood ratio test. The method is illustrated using real wave height data. (C) 2010 Elsevier Ltd. All rights reserved.