Matches in SemOpenAlex for { <https://semopenalex.org/work/W2068596543> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2068596543 endingPage "566" @default.
- W2068596543 startingPage "559" @default.
- W2068596543 abstract "The statistical properties of potential estimators of forest area for the USDA Forest Service's Forest Inventory and Analysis (FIA) program are presented and discussed. The current FIA area estimator is compared and contrasted with a weighted mean estimator and an estimator based on the Polya posterior, in the presence of nonresponse. Estimator optimality is evaluated both theoretically and via simulation under bias and mean squared error criteria.The results indicate that, under realistic conditions, the current FIA area estimator can sometimes result in substantial bias and have a higher mean squared error than both of the alternative estimators. This finding is of special interest because the same factor that contributes to this increased bias and variance applies to all area-based FIA estimates. The weighted mean and Polyha posterior estimators gave similar results for estimating the total area of a domain. It is concluded that the main advantage of the latter approach is that many other statistics are obtainable because the entire population distribution is estimated from the same sampling effort. The cost of this advantage for the Polya posterior approach is that a single result requires many more computer operations, a cost that has become virtually ignorable over the past decade." @default.
- W2068596543 created "2016-06-24" @default.
- W2068596543 creator A5040866899 @default.
- W2068596543 creator A5065260963 @default.
- W2068596543 creator A5068323486 @default.
- W2068596543 date "2012-12-02" @default.
- W2068596543 modified "2023-09-25" @default.
- W2068596543 title "Statistical Properties of Alternative National Forest Inventory Area Estimators" @default.
- W2068596543 cites W1494853941 @default.
- W2068596543 cites W1977236449 @default.
- W2068596543 cites W1987431067 @default.
- W2068596543 cites W2008516188 @default.
- W2068596543 cites W2030617491 @default.
- W2068596543 cites W2032394556 @default.
- W2068596543 cites W2045155517 @default.
- W2068596543 cites W2090846275 @default.
- W2068596543 cites W2101343682 @default.
- W2068596543 cites W2118502261 @default.
- W2068596543 cites W2153426534 @default.
- W2068596543 cites W2319041464 @default.
- W2068596543 cites W2415640143 @default.
- W2068596543 cites W246669489 @default.
- W2068596543 cites W2801840425 @default.
- W2068596543 cites W349653214 @default.
- W2068596543 cites W81061782 @default.
- W2068596543 cites W2496536496 @default.
- W2068596543 doi "https://doi.org/10.5849/forsci.11-008" @default.
- W2068596543 hasPublicationYear "2012" @default.
- W2068596543 type Work @default.
- W2068596543 sameAs 2068596543 @default.
- W2068596543 citedByCount "4" @default.
- W2068596543 countsByYear W20685965432018 @default.
- W2068596543 countsByYear W20685965432019 @default.
- W2068596543 countsByYear W20685965432021 @default.
- W2068596543 countsByYear W20685965432022 @default.
- W2068596543 crossrefType "journal-article" @default.
- W2068596543 hasAuthorship W2068596543A5040866899 @default.
- W2068596543 hasAuthorship W2068596543A5065260963 @default.
- W2068596543 hasAuthorship W2068596543A5068323486 @default.
- W2068596543 hasConcept C105795698 @default.
- W2068596543 hasConcept C147103442 @default.
- W2068596543 hasConcept C149782125 @default.
- W2068596543 hasConcept C185429906 @default.
- W2068596543 hasConcept C205649164 @default.
- W2068596543 hasConcept C28631016 @default.
- W2068596543 hasConcept C2993660981 @default.
- W2068596543 hasConcept C33923547 @default.
- W2068596543 hasConcept C39432304 @default.
- W2068596543 hasConcept C97137747 @default.
- W2068596543 hasConceptScore W2068596543C105795698 @default.
- W2068596543 hasConceptScore W2068596543C147103442 @default.
- W2068596543 hasConceptScore W2068596543C149782125 @default.
- W2068596543 hasConceptScore W2068596543C185429906 @default.
- W2068596543 hasConceptScore W2068596543C205649164 @default.
- W2068596543 hasConceptScore W2068596543C28631016 @default.
- W2068596543 hasConceptScore W2068596543C2993660981 @default.
- W2068596543 hasConceptScore W2068596543C33923547 @default.
- W2068596543 hasConceptScore W2068596543C39432304 @default.
- W2068596543 hasConceptScore W2068596543C97137747 @default.
- W2068596543 hasIssue "6" @default.
- W2068596543 hasLocation W20685965431 @default.
- W2068596543 hasOpenAccess W2068596543 @default.
- W2068596543 hasPrimaryLocation W20685965431 @default.
- W2068596543 hasRelatedWork W2068614035 @default.
- W2068596543 hasRelatedWork W2125045620 @default.
- W2068596543 hasRelatedWork W2183769715 @default.
- W2068596543 hasRelatedWork W2601096255 @default.
- W2068596543 hasRelatedWork W2994956501 @default.
- W2068596543 hasRelatedWork W3135104130 @default.
- W2068596543 hasRelatedWork W3147744538 @default.
- W2068596543 hasRelatedWork W4200167157 @default.
- W2068596543 hasRelatedWork W4214912121 @default.
- W2068596543 hasRelatedWork W2345066275 @default.
- W2068596543 hasVolume "58" @default.
- W2068596543 isParatext "false" @default.
- W2068596543 isRetracted "false" @default.
- W2068596543 magId "2068596543" @default.
- W2068596543 workType "article" @default.