Use of nonparametric regression methods for developing a local stem form model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F14%3A64999" target="_blank" >RIV/60460709:41320/14:64999 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Use of nonparametric regression methods for developing a local stem form model

Popis výsledku v původním jazyce

A local mean stem curve of spruce was represented using regression splines. Abilities of smoothing spline and P-spline to model the mean stem curve were evaluated using data of 85 carefully measured stems of Norway spruce. For both techniques the optimalamount of smoothing was investigated in dependence on the number of training stems using a cross-validation method. Representatives of main groups of parametric models ? single models, segmented models and models with variable coefficient ? were compared with spline models using five statistic criteria. Both regression splines performed comparably or better as all representatives of parametric models independently of the numbers of stems used as training data.

Název v anglickém jazyce

Use of nonparametric regression methods for developing a local stem form model

Popis výsledku anglicky

A local mean stem curve of spruce was represented using regression splines. Abilities of smoothing spline and P-spline to model the mean stem curve were evaluated using data of 85 carefully measured stems of Norway spruce. For both techniques the optimalamount of smoothing was investigated in dependence on the number of training stems using a cross-validation method. Representatives of main groups of parametric models ? single models, segmented models and models with variable coefficient ? were compared with spline models using five statistic criteria. Both regression splines performed comparably or better as all representatives of parametric models independently of the numbers of stems used as training data.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GK - Lesnictví

OECD FORD obor

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Projekt

<a href="/cs/project/QI102A079" target="_blank" >QI102A079: Výzkum biomasy listnatých dřevin</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Journal of Forest Science

ISSN

1212-4834

e-ISSN

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Svazek periodika

60

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

464-471

Kód UT WoS článku

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EID výsledku v databázi Scopus

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