Generalizing sample tree information with semiparametric and parametric models.

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dc.contributor.author Kangas, Annika en
dc.contributor.author Korhonen, Kari T. en
dc.date.accessioned 2009-05-29T15:44:47Z en
dc.date.accessioned 2009-06-17T14:11:44Z
dc.date.available 2009-05-29T15:44:47Z en
dc.date.available 2009-06-17T14:11:44Z
dc.date.issued 1995 en
dc.identifier.citation Silva Fennica. 1995. 29(2): 151–158. en
dc.identifier.issn 0037-5330 en
dc.identifier.uri http://hdl.handle.net/1975/9204
dc.description.abstract Semiparametric models, ordinary regression models and mixed models were compared for modelling stem volume in National Forest Inventory data. MSE was lowest for the mixed model. Examination of spatial distribution of residuals showed that spatial correlation of residuals is lower for semiparametric and mixed models than for parametric models with fixed regressors. Mixed models and semiparametric models can both be used for describing the effect of geographic location on stem form. en
dc.language.iso en en
dc.publisher The Finnish Society of Forest Science and The Finnish Forest Research Institute en
dc.subject metsäninventointi en
dc.subject valtakunnan metsien inventointi en
dc.subject mallit en
dc.subject tilavuus en
dc.subject models en
dc.subject volume en
dc.subject forest inventories en
dc.title Generalizing sample tree information with semiparametric and parametric models. en
dc.type Article en
dc.identifier.laitoskoodi SMS fi
dc.creator.corporateName The Finnish Society of Forest Science en
dc.creator.corporateName Finlands Forstvetenskapliga Samfund sv
dc.creator.corporateName Suomen metsätieteellinen seura fi

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