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

  • Sezer A
  • Asma S
  • 4

    Readers

    Mendeley users who have this article in their library.
  • 1

    Citations

    Citations of this article.

Abstract

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. © 2010 Elsevier Ltd.

Author-supplied keywords

  • Hypothesis testing
  • Information measure
  • Likelihood ratio test
  • Power curves
  • Wave height data

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Ahmet Sezer

  • Senay Asma

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free