Generalizing sample tree information with semiparametric and parametric models.
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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Finnish Society of Forest Science
1995-01-01
|
| Series: | Silva Fennica |
| Online Access: | https://www.silvafennica.fi/article/5553 |
| _version_ | 1819043748220239872 |
|---|---|
| author | Kangas, Annika Korhonen, Kari |
| author_facet | Kangas, Annika Korhonen, Kari |
| author_sort | Kangas, Annika |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T10:01:43Z |
| format | Article |
| id | doaj.art-e5fdfa0cabd94318a3355908f326bda3 |
| institution | Directory Open Access Journal |
| issn | 2242-4075 |
| language | English |
| last_indexed | 2024-12-21T10:01:43Z |
| publishDate | 1995-01-01 |
| publisher | Finnish Society of Forest Science |
| record_format | Article |
| series | Silva Fennica |
| spelling | doaj.art-e5fdfa0cabd94318a3355908f326bda32022-12-21T19:07:55ZengFinnish Society of Forest ScienceSilva Fennica2242-40751995-01-0129210.14214/sf.a9204Generalizing sample tree information with semiparametric and parametric models.Kangas, AnnikaKorhonen, KariSemiparametric 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.https://www.silvafennica.fi/article/5553 |
| spellingShingle | Kangas, Annika Korhonen, Kari Generalizing sample tree information with semiparametric and parametric models. Silva Fennica |
| title | Generalizing sample tree information with semiparametric and parametric models. |
| title_full | Generalizing sample tree information with semiparametric and parametric models. |
| title_fullStr | Generalizing sample tree information with semiparametric and parametric models. |
| title_full_unstemmed | Generalizing sample tree information with semiparametric and parametric models. |
| title_short | Generalizing sample tree information with semiparametric and parametric models. |
| title_sort | generalizing sample tree information with semiparametric and parametric models |
| url | https://www.silvafennica.fi/article/5553 |
| work_keys_str_mv | AT kangasannika generalizingsampletreeinformationwithsemiparametricandparametricmodels AT korhonenkari generalizingsampletreeinformationwithsemiparametricandparametricmodels |