Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke

We present seven alternative statistical models for modelling tree diameter increment with data from permanent sampling plots. In addition to the polynomial regression model, we present a regression model with added random noise, a mixed linear model, regression with natural splines, and th...

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Autores principales:	Andrej Ficko, Vasilije Trifković
Formato:	article
Lenguaje:	DE EN ES FR SL
Publicado:	Slovenian Forestry Institute 2021
Materias:	Forestry SD1-669.5 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/4d314a1af29241888b2a4e2772170b98
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spelling	oai:doaj.org-article:4d314a1af29241888b2a4e2772170b982021-12-02T10:47:30ZPrimerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke2335-31122335-395310.20315/ASetL.126.6https://doaj.org/article/4d314a1af29241888b2a4e2772170b982021-12-01T00:00:00Zhttps://dirros.openscience.si/IzpisGradiva.php?id=14645https://doaj.org/toc/2335-3112https://doaj.org/toc/2335-3953 We present seven alternative statistical models for modelling tree diameter increment with data from permanent sampling plots. In addition to the polynomial regression model, we present a regression model with added random noise, a mixed linear model, regression with natural splines, and three models with limited dependent variables: truncated regression, tobit regression and grouped data regression. The models may be used when dealing with truncated or censored variables, biased estimation of the increment due to censoring and rounding down, or when having multilevel data. The parametrization of the models was done using 21,013 fir trees on 4,405 plots in the period 1990–2014 in uneven-aged Dinaric fir-beech forests. All models showed a similar effect of tree diameter, stand basal area, basal area of larger trees, diameter structure diversity, altitude and slope. There were only minor differences in the regression coefficients and fit measures. The highest increment predictions were given by the tobit model. The mixed model fit the data best and, compared to the other models, predicted a slower decrease in the growth of large-diameter trees after growth culmination.Andrej FickoVasilije TrifkovićSlovenian Forestry InstitutearticleForestrySD1-669.5Environmental sciencesGE1-350DEENESFRSLActa Silvae et Ligni, Vol 126, Pp 61-76 (2021)
institution	DOAJ
collection	DOAJ
language	DE EN ES FR SL
topic	Forestry SD1-669.5 Environmental sciences GE1-350
spellingShingle	Forestry SD1-669.5 Environmental sciences GE1-350 Andrej Ficko Vasilije Trifković Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
description	We present seven alternative statistical models for modelling tree diameter increment with data from permanent sampling plots. In addition to the polynomial regression model, we present a regression model with added random noise, a mixed linear model, regression with natural splines, and three models with limited dependent variables: truncated regression, tobit regression and grouped data regression. The models may be used when dealing with truncated or censored variables, biased estimation of the increment due to censoring and rounding down, or when having multilevel data. The parametrization of the models was done using 21,013 fir trees on 4,405 plots in the period 1990–2014 in uneven-aged Dinaric fir-beech forests. All models showed a similar effect of tree diameter, stand basal area, basal area of larger trees, diameter structure diversity, altitude and slope. There were only minor differences in the regression coefficients and fit measures. The highest increment predictions were given by the tobit model. The mixed model fit the data best and, compared to the other models, predicted a slower decrease in the growth of large-diameter trees after growth culmination.
format	article
author	Andrej Ficko Vasilije Trifković
author_facet	Andrej Ficko Vasilije Trifković
author_sort	Andrej Ficko
title	Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
title_short	Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
title_full	Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
title_fullStr	Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
title_full_unstemmed	Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
title_sort	primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
publisher	Slovenian Forestry Institute
publishDate	2021
url	https://doaj.org/article/4d314a1af29241888b2a4e2772170b98
work_keys_str_mv	AT andrejficko primerjavarazlicnihregresijskihmodelovzanapovedovanjedebelinskegaprirascanjajelke AT vasilijetrifkovic primerjavarazlicnihregresijskihmodelovzanapovedovanjedebelinskegaprirascanjajelke
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Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke

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