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Wyszukujesz frazę "seemingly unrelated regression" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Modelowanie grubości kory wzdłuż pnia za pomocą modeli zbieżystości
Modelling the bark thickness along the trunk with taper models
Autorzy:
Bronisz, K.
Gruchała, A.
Zasada, M.
Powiązania:
https://bibliotekanauki.pl/articles/980348.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
dendrometria
robinia akacjowa
Robinia pseudoacacia
grubosc kory
modelowanie
model zbiezystosci
bark thicknes
taper models
robinia pseudoacacia
seemingly unrelated regression
Opis:
Taper models are used to determine the diameter along the trunk and allow to determine the tree trunk volume or volume of any part of it. The paper presents the method of determining the thickness of bark along the trunk using compatible taper models. Four taper models with different levels of complexity were analyzed based on data from 13 sample plots and 39 sample trees measured in black locust (Robinia pseudoacacia L.) stands from west Poland. For modelling the over and under bark diameter and bark thickness along the trunk seemingly unrelated regression of independent equations was applied. During the analyzes, the logical assumption that the thickness of the bark at any place on the trunk is determined in a difference of over and under bark diameter was applied. It was found that selected models fit the shape of the trunk with different accuracy. The worst results were obtained with the use of a polynomial model. The best fit for modelling bark thickness along the trunk was characterized by variable−form taper models. However, regardless of the complexity and quality of fit to the trunk shape, all analyzed models allowed determining the bark thickness along the trunk without systematic error and with practically acceptable accuracy.
Źródło:
Sylwan; 2019, 163, 06; 469-478
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Uproszczone wzory empiryczne do określania suchej biomasy nadziemnej części drzew i ich komponentów dla sosny zwyczajnej
Simplified empirical formulas to determine the dry biomass of aboveground components of trees for Scots pine
Autorzy:
Bronisz, K.
Zasada, M.
Powiązania:
https://bibliotekanauki.pl/articles/989260.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
drzewa lesne
sosna zwyczajna
Pinus sylvestris
biomasa nadziemna
obliczenia
wzory empiryczne
wzory uproszczone
piersnice drzew
allometric equation
scots pine
biomass
seemingly unrelated regression
Opis:
So−far developed and published Polish equations for determination of aboveground biomass of Scots pine are based on two predictors: diameter at the breast height (DBH) and tree height. The main goal of the presented study were i) to build the simplified empirical biomass equations that use exclusively DBH as the independent variable, and ii) to compare the obtained results with values from equations based on both predictors (optimal model). The empirical material consisted of biomass data for 90 Scots pines growing on typical habitats in Bory Lubuskie (western Poland). The elaborated equations have a lower accuracy than the optimal ones. The R² value for all biomass components is higher than 0.69, and reaches as much as 0.976 in the case of dry wood biomass. The root mean square error (RMSE) for such components as dry biomass of bark and alive or dead branches and branches with needles is lower for the simplified model. However, for the dry wood biomass the optimal model has lower RMSE value. Because this component has the largest share in the total aboveground tree biomass (AGB), the resulting RMSE for the AGB is lower than for the optimal model. Optimal model is also more accurate when the mean error is considered. The simplified model can be used when there are no height measurement available or there is an anxiety that the use of height−diameter models significantly increases the uncertainty of results.
Źródło:
Sylwan; 2016, 160, 04; 277-283
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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