Developing an Improved Parameter Estimation Method for the Segmented Taper Equation through Combination of Constrained Two-Dimensional Optimum Seeking and Least Square Regression

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F16%3A71962" target="_blank" >RIV/60460709:41320/16:71962 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3390/f7090194" target="_blank" >http://dx.doi.org/10.3390/f7090194</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/f7090194" target="_blank" >10.3390/f7090194</a>

Result language

angličtina

Original language name

Developing an Improved Parameter Estimation Method for the Segmented Taper Equation through Combination of Constrained Two-Dimensional Optimum Seeking and Least Square Regression

Original language description

The segmented taper equation has great flexibility and is widely applied in exiting taper systems. The unconstrained least square regression (ULSR) was generally used to estimate parameters in previous applications of the segmented taper equations. The joint point parameters estimated with ULSR may fall outside the feasible region, which leads to the results of the segmented taper equation being uncertain and meaningless. In this study, a combined method of constrained two-dimensional optimum seeking and least square regression (CTOS and LSR) was proposed as an improved method to estimate the parameters in the segmented taper equation. The CTOS and LSR was compared with ULSR for both individual tree-level equation and the population average-level equation using data from three tropical precious tree species (Castanopsis hystrix, Erythrophleum fordii, and Tectona grandis) in the southwest of China. The differences between CTOS and LSR and ULSR were found to be significant. The segmented taper equatio

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GK - Forestry

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

FORESTS

ISSN

1999-4907

e-ISSN

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Volume of the periodical

7

Issue of the periodical within the volume

9

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

20

Pages from-to

1-20

UT code for WoS article

000385428900012

EID of the result in the Scopus database

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