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A bivariate conditional Weibull distribution with application

  • I. E. GongsinEmail author
  • F. W. O. Saporu
Article
  • 11 Downloads

Abstract

A three-parameter bivariate distribution is derived from the marginal and conditional Weibull distributions. Its joint properties are derived and method of estimation of its parameters discussed. It is generalised for the multivariate case when the assumptions of piecewise conditional independence of the variables is tenable. It is applied to a bivariate data set of wind speed and solar radiation, where the conditional dependence of the two variables involved is suspected. The result shows that the model is compatible with the data. It is proposed for application when there is need to allow for such conditional structure in a bivariate model.

Keywords

Bivariate conditional Weibull distribution Newton–Raphson method Joint moments Hessian matrix 

Mathematics Subject Classification

742 

Notes

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Copyright information

© African Mathematical Union and Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mathematical SciencesUniversity of MaiduguriMaiduguriNigeria
  2. 2.National Mathematical CentreAbujaNigeria

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