Matches in SemOpenAlex for { <https://semopenalex.org/work/W2093966203> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2093966203 endingPage "132" @default.
- W2093966203 startingPage "127" @default.
- W2093966203 abstract "Diameter distributions of loblolly pine trees (Pinus taeda L.) were derived using Bayesian methods. The Bayesian derived distributions were compared to traditional maximum likelihood techniques for estimating diameter distributions. The data for this study come from a planting density study established in 1983 at four locations in Virginia and North Carolina. Results of the Bayesian analysis show that different distributional forms had the highest posterior probability at different ages for the diameter distributions. Standard goodness-of-fit statistics for the maximum likelihood estimates did not consistently recommend a distribution for the empirical data. Further, there were cases where no distribution was chosen from the candidate distributions based on the goodness-of-fit statistics. The lack of a clear distribution that fits over the range of ages for the diameter data suggests that a Bayesian model averaging technique would be beneficial for deriving tree diameter distributions with probability proportional to the posterior distribution. A simulation study was conducted to compare the goodness-of-fit statistics from the averaged distributional model and other candidate distributions. Results indicated that the averaged distribution had superior goodness-of-fit values over the candidate models; the exception being when the candidate distribution was an exact fit to the data." @default.
- W2093966203 created "2016-06-24" @default.
- W2093966203 creator A5000625642 @default.
- W2093966203 creator A5058517062 @default.
- W2093966203 date "2007-04-01" @default.
- W2093966203 modified "2023-09-25" @default.
- W2093966203 title "Deriving tree diameter distributions using Bayesian model averaging" @default.
- W2093966203 cites W1976228835 @default.
- W2093966203 cites W2000366752 @default.
- W2093966203 cites W2017282822 @default.
- W2093966203 cites W2018366898 @default.
- W2093966203 cites W2055755105 @default.
- W2093966203 cites W2095505819 @default.
- W2093966203 cites W2125658492 @default.
- W2093966203 cites W2317457840 @default.
- W2093966203 cites W2466718634 @default.
- W2093966203 cites W2777138652 @default.
- W2093966203 cites W2969400490 @default.
- W2093966203 cites W2969622465 @default.
- W2093966203 cites W4247844853 @default.
- W2093966203 doi "https://doi.org/10.1016/j.foreco.2007.01.024" @default.
- W2093966203 hasPublicationYear "2007" @default.
- W2093966203 type Work @default.
- W2093966203 sameAs 2093966203 @default.
- W2093966203 citedByCount "19" @default.
- W2093966203 countsByYear W20939662032012 @default.
- W2093966203 countsByYear W20939662032013 @default.
- W2093966203 countsByYear W20939662032014 @default.
- W2093966203 countsByYear W20939662032015 @default.
- W2093966203 countsByYear W20939662032017 @default.
- W2093966203 countsByYear W20939662032018 @default.
- W2093966203 countsByYear W20939662032019 @default.
- W2093966203 countsByYear W20939662032021 @default.
- W2093966203 crossrefType "journal-article" @default.
- W2093966203 hasAuthorship W2093966203A5000625642 @default.
- W2093966203 hasAuthorship W2093966203A5058517062 @default.
- W2093966203 hasConcept C105795698 @default.
- W2093966203 hasConcept C107673813 @default.
- W2093966203 hasConcept C132480984 @default.
- W2093966203 hasConcept C149441793 @default.
- W2093966203 hasConcept C159985019 @default.
- W2093966203 hasConcept C160234255 @default.
- W2093966203 hasConcept C192562407 @default.
- W2093966203 hasConcept C204323151 @default.
- W2093966203 hasConcept C33923547 @default.
- W2093966203 hasConcept C37903108 @default.
- W2093966203 hasConcept C57830394 @default.
- W2093966203 hasConceptScore W2093966203C105795698 @default.
- W2093966203 hasConceptScore W2093966203C107673813 @default.
- W2093966203 hasConceptScore W2093966203C132480984 @default.
- W2093966203 hasConceptScore W2093966203C149441793 @default.
- W2093966203 hasConceptScore W2093966203C159985019 @default.
- W2093966203 hasConceptScore W2093966203C160234255 @default.
- W2093966203 hasConceptScore W2093966203C192562407 @default.
- W2093966203 hasConceptScore W2093966203C204323151 @default.
- W2093966203 hasConceptScore W2093966203C33923547 @default.
- W2093966203 hasConceptScore W2093966203C37903108 @default.
- W2093966203 hasConceptScore W2093966203C57830394 @default.
- W2093966203 hasIssue "2-3" @default.
- W2093966203 hasLocation W20939662031 @default.
- W2093966203 hasOpenAccess W2093966203 @default.
- W2093966203 hasPrimaryLocation W20939662031 @default.
- W2093966203 hasRelatedWork W1529069387 @default.
- W2093966203 hasRelatedWork W2001330101 @default.
- W2093966203 hasRelatedWork W2032094637 @default.
- W2093966203 hasRelatedWork W2290902902 @default.
- W2093966203 hasRelatedWork W2617021092 @default.
- W2093966203 hasRelatedWork W2981461142 @default.
- W2093966203 hasRelatedWork W3045699787 @default.
- W2093966203 hasRelatedWork W4246347010 @default.
- W2093966203 hasRelatedWork W4287706009 @default.
- W2093966203 hasRelatedWork W2184215046 @default.
- W2093966203 hasVolume "242" @default.
- W2093966203 isParatext "false" @default.
- W2093966203 isRetracted "false" @default.
- W2093966203 magId "2093966203" @default.
- W2093966203 workType "article" @default.