Full text of this article is only available in PDF format.

Annika Kangas (email), Kari T. Korhonen

Generalizing sample tree information with semiparametric and parametric models.

Kangas A., Korhonen K. T. (1995). Generalizing sample tree information with semiparametric and parametric models. Silva Fennica vol. 29 no. 2 article id 5553. https://doi.org/10.14214/sf.a9204

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.

Keywords
forest inventories; mixed models; volume; nonparametric models; semiparametric models

Published in 1995

Views 2163

Available at https://doi.org/10.14214/sf.a9204 | Download PDF

Creative Commons License CC BY-SA 4.0

Register
Click this link to register to Silva Fennica.
Log in
If you are a registered user, log in to save your selected articles for later access.
Contents alert
Sign up to receive alerts of new content

Your selected articles
Send to email
Kangas A., Korhonen K. T. (1995) Generalizing sample tree information with semipa.. Silva Fennica vol. 29 no. 2 article id 5553 (remove) | Edit comment
Your search results