dc.contributor.author | Rose, Charles Edward, Jr. | |
dc.date.accessioned | 2014-09-29T16:12:30Z | |
dc.date.available | 2014-09-29T16:12:30Z | |
dc.date.issued | 1998-05-01 | |
dc.identifier.uri | https://hdl.handle.net/11244/12088 | |
dc.description.abstract | Purpose of this study was to model basal area growth using a system of equations that accounts for tree interdependency within a plot by using seemingly unrelated regression (SUR) to estimate the parameters. A major regression assumption is that the error terms are independent. For Forestry applications, trees within a plot are not indepedent. If the independent observation assumption is violated the parameter estimates standard errors may be underestimated and the mean square error may be overestimated. Using seemingly unrelated regression to estimate the parameters of a system of equations accounts for the correlation between error terms and tree interdepency within a plot. | |
dc.format | application/pdf | |
dc.language | en_US | |
dc.publisher | Oklahoma State University | |
dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
dc.title | Parameter Estimation for a Shortleaf Pine (Pinus echinata Mill.) Basal Area Growth Model | |
dc.type | text | |
osu.filename | Thesis-1998-R795p.pdf | |
osu.accesstype | Open Access | |
dc.type.genre | Thesis | |