African Journal of
Mathematics and Computer Science Research

  • Abbreviation: Afr. J. Math. Comput. Sci. Res.
  • Language: English
  • ISSN: 2006-9731
  • DOI: 10.5897/AJMCSR
  • Start Year: 2008
  • Published Articles: 262

Full Length Research Paper

Computing leaf rectangularity index: An estimation problem when the parameter is a norm of a vector

Isaac Didi Essi
Statistics and Econometrics Modeling Group, P. O. Box 11518 (Main GPO) Near Rivers State Judiciary, Port Harcourt, Rivers State, Nigeria.
Email: [email protected]

  •  Accepted: 21 April 2010
  •  Published: 30 June 2010

Abstract

A measure known as leaf rectangularity index (LRI) is estimated by means of bootstrap regression. The index, it is envisaged, will assist in discussing the geometry of leaf surfaces, if possible among different plants and across species. The study shows that one cannot obtain the point estimate of LRI before its interval estimate; rather, the interval estimate comes first before the point estimate. This paper gives the formal steps of obtaining both the point and interval estimate when the parameter is a norm of a vector.

 

Key words: Leaf rectangularity index, bootstrap regression, norm.