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Full Length Research Paper
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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. E-mail:
ddmetra_utibe@yahoo.com.
Accepted 21 April, 2010 |
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Abstract |
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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.
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