@Article{VonLupke2014,
  author   = {von L{\"{u}}pke, Nikolas and Saborowski, Joachim},
  title    = {{Combining double sampling for stratification and cluster sampling to a three-level sampling design for continuous forest inventories}},
  journal  = {European Journal of Forest Research},
  year     = {2014},
  volume   = {133},
  number   = {1},
  pages    = {89--100},
  issn     = {16124669},
  url_pdf  = {http://uni-goettingen.de/de/document/download/c5c6f0125f23977b2fcd67b18c2056bc.pdf/2014_EJFR_vLuepkeSab.pdf},
  abstract = {We extend the well-known double sampling for stratification sampling$\backslash$nscheme by cluster subsampling to a three-level design and present$\backslash$ncorresponding estimators based on the infinite population approach$\backslash$nin the first phase. After stratification of the sample points (phase$\backslash$nI), a second-phase sample is drawn independently among the first-phase$\backslash$npoints within each stratum. On level III, clusters are formed of$\backslash$nthose phase II points and a sample of clusters is finally drawn without$\backslash$nreplacement. We used the forest planning units compartment and subdistrict$\backslash$nas clusters and moreover formed clusters with a heuristic for the$\backslash$nvehicle routing problem. The precision of the new estimator was compared$\backslash$nto that achieved with classical double sampling for stratification$\backslash$nin a case study. The results indicate that the expected increase$\backslash$nin sampling errors caused by clustering cannot be compensated by$\backslash$nthe reduced inventory costs under the conditions given in the case$\backslash$nstudy.},
  comment  = {public},
  doi      = {10.1007/s10342-013-0743-9},
  keywords = {Cluster sampling,Continuous forest inventory,Double sampling for stratification,Infinite population approach},
}

{"_id":"R6DWNMjmNX9hGzxxm","bibbaseid":"vonlpke-saborowski-combiningdoublesamplingforstratificationandclustersamplingtoathreelevelsamplingdesignforcontinuousforestinventories-2014","author_short":["von Lüpke, N.","Saborowski, J."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":["von"],"lastnames":["Lüpke"],"firstnames":["Nikolas"],"suffixes":[]},{"propositions":[],"lastnames":["Saborowski"],"firstnames":["Joachim"],"suffixes":[]}],"title":"Combining double sampling for stratification and cluster sampling to a three-level sampling design for continuous forest inventories","journal":"European Journal of Forest Research","year":"2014","volume":"133","number":"1","pages":"89–100","issn":"16124669","url_pdf":"http://uni-goettingen.de/de/document/download/c5c6f0125f23977b2fcd67b18c2056bc.pdf/2014_EJFR_vLuepkeSab.pdf","abstract":"We extend the well-known double sampling for stratification sampling$\\$nscheme by cluster subsampling to a three-level design and present$\\$ncorresponding estimators based on the infinite population approach$\\$nin the first phase. After stratification of the sample points (phase$\\$nI), a second-phase sample is drawn independently among the first-phase$\\$npoints within each stratum. On level III, clusters are formed of$\\$nthose phase II points and a sample of clusters is finally drawn without$\\$nreplacement. We used the forest planning units compartment and subdistrict$\\$nas clusters and moreover formed clusters with a heuristic for the$\\$nvehicle routing problem. The precision of the new estimator was compared$\\$nto that achieved with classical double sampling for stratification$\\$nin a case study. The results indicate that the expected increase$\\$nin sampling errors caused by clustering cannot be compensated by$\\$nthe reduced inventory costs under the conditions given in the case$\\$nstudy.","comment":"public","doi":"10.1007/s10342-013-0743-9","keywords":"Cluster sampling,Continuous forest inventory,Double sampling for stratification,Infinite population approach","bibtex":"@Article{VonLupke2014,\r\n author = {von L{\\\"{u}}pke, Nikolas and Saborowski, Joachim},\r\n title = {{Combining double sampling for stratification and cluster sampling to a three-level sampling design for continuous forest inventories}},\r\n journal = {European Journal of Forest Research},\r\n year = {2014},\r\n volume = {133},\r\n number = {1},\r\n pages = {89--100},\r\n issn = {16124669},\r\n url_pdf = {http://uni-goettingen.de/de/document/download/c5c6f0125f23977b2fcd67b18c2056bc.pdf/2014_EJFR_vLuepkeSab.pdf},\r\n abstract = {We extend the well-known double sampling for stratification sampling$\\backslash$nscheme by cluster subsampling to a three-level design and present$\\backslash$ncorresponding estimators based on the infinite population approach$\\backslash$nin the first phase. After stratification of the sample points (phase$\\backslash$nI), a second-phase sample is drawn independently among the first-phase$\\backslash$npoints within each stratum. On level III, clusters are formed of$\\backslash$nthose phase II points and a sample of clusters is finally drawn without$\\backslash$nreplacement. We used the forest planning units compartment and subdistrict$\\backslash$nas clusters and moreover formed clusters with a heuristic for the$\\backslash$nvehicle routing problem. The precision of the new estimator was compared$\\backslash$nto that achieved with classical double sampling for stratification$\\backslash$nin a case study. The results indicate that the expected increase$\\backslash$nin sampling errors caused by clustering cannot be compensated by$\\backslash$nthe reduced inventory costs under the conditions given in the case$\\backslash$nstudy.},\r\n comment = {public},\r\n doi = {10.1007/s10342-013-0743-9},\r\n keywords = {Cluster sampling,Continuous forest inventory,Double sampling for stratification,Infinite population approach},\r\n}\r\n\r\n","author_short":["von Lüpke, N.","Saborowski, J."],"key":"VonLupke2014","id":"VonLupke2014","bibbaseid":"vonlpke-saborowski-combiningdoublesamplingforstratificationandclustersamplingtoathreelevelsamplingdesignforcontinuousforestinventories-2014","role":"author","urls":{" pdf":"http://uni-goettingen.de/de/document/download/c5c6f0125f23977b2fcd67b18c2056bc.pdf/2014_EJFR_vLuepkeSab.pdf"},"keyword":["Cluster sampling","Continuous forest inventory","Double sampling for stratification","Infinite population approach"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"http://uni-goettingen.de/de/document/download/90b40c40de0658874f406731815eae4a.bib/ecomod_publications.bib","dataSources":["AAg4wfMsPtnWptvEc","GRJ5z7bcbdBHoAJJt","W6GaPzngHiZMmBc5j","tEg2pjoSHaNSNeBg6"],"keywords":["cluster sampling","continuous forest inventory","double sampling for stratification","infinite population approach"],"search_terms":["combining","double","sampling","stratification","cluster","sampling","three","level","sampling","design","continuous","forest","inventories","von lüpke","saborowski"],"title":"Combining double sampling for stratification and cluster sampling to a three-level sampling design for continuous forest inventories","year":2014}