Saborowski, Joachim

[["dc.bibliographiccitation.firstpage","1979"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","European Journal of Forest Research"],["dc.bibliographiccitation.lastpage","1990"],["dc.bibliographiccitation.volume","131"],["dc.contributor.author","von Luepke, Nikolas"],["dc.contributor.author","Hansen, Jan"],["dc.contributor.author","Saborowski, Joachim"],["dc.date.accessioned","2018-11-07T09:03:45Z"],["dc.date.available","2018-11-07T09:03:45Z"],["dc.date.issued","2012"],["dc.description.abstract","For a current inventory using double sampling for stratification with a reduced second-phase sample size, compared with a previous inventory, we develop a three-phase sampling procedure that exploits plot data from the previous inventory or their updates based on a growth model to increase precision. The three-phase procedure combines double sampling for stratification with a two-phase regression estimator within strata. We consider sampling from an infinite population in the first phase. The combined estimator is tested in a case study using data from two consecutive inventories in four State Forest Districts in Lower Saxony, Germany. Data from a reduced number of sample plots from the second occasion are combined with (1) volumes from the first occasion or (2) growth simulations on the sample plots from the first occasion. The data from the previous inventory or their updates serve as the auxiliary variable for the regression estimator of the strata means of the target variable. This case study indicates a remarkable increase in precision and thereby an enormous cost-saving potential for reduced intermediate inventories in a periodic inventory design with both types of auxiliary variables."],["dc.description.sponsorship","German Science Foundation (DFG) [Sachbeihilfe SA 415/5-1]"],["dc.identifier.doi","10.1007/s10342-012-0648-z"],["dc.identifier.isi","000313036900027"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8836"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/24962"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1612-4669"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.gro","Continuous forest inventory"],["dc.subject.gro","Double sampling for regression"],["dc.subject.gro","Double sampling for stratification"],["dc.subject.gro","Forest growth models"],["dc.title","A three-phase sampling procedure for continuous forest inventory with partial re-measurement and updating of terrestrial sample plots"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","89"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","European Journal of Forest Research"],["dc.bibliographiccitation.lastpage","100"],["dc.bibliographiccitation.volume","133"],["dc.contributor.author","von Luepke, Nikolas"],["dc.contributor.author","Saborowski, Joachim"],["dc.date.accessioned","2018-11-07T09:46:58Z"],["dc.date.available","2018-11-07T09:46:58Z"],["dc.date.issued","2014"],["dc.description.abstract","We extend the well-known double sampling for stratification sampling scheme by cluster subsampling to a three-level design and present corresponding estimators based on the infinite population approach in the first phase. After stratification of the sample points (phase I), a second-phase sample is drawn independently among the first-phase points within each stratum. On level III, clusters are formed of those phase II points and a sample of clusters is finally drawn without replacement. We used the forest planning units compartment and subdistrict as clusters and moreover formed clusters with a heuristic for the vehicle routing problem. The precision of the new estimator was compared to that achieved with classical double sampling for stratification in a case study. The results indicate that the expected increase in sampling errors caused by clustering cannot be compensated by the reduced inventory costs under the conditions given in the case study."],["dc.description.sponsorship","German Science Foundation (DFG) [Sachbeihilfe SA 415/5-1]"],["dc.identifier.doi","10.1007/s10342-013-0743-9"],["dc.identifier.isi","000329231900009"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35005"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1612-4677"],["dc.relation.issn","1612-4669"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.subject.gro","Cluster sampling"],["dc.subject.gro","Continuous forest inventory"],["dc.subject.gro","Double sampling for stratification"],["dc.subject.gro","Infinite population approach"],["dc.title","Combining double sampling for stratification and cluster sampling to a three-level sampling design for continuous forest inventories"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]