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  "Title": "Design-Based Global and Small-Area Estimations for Multiphase\nForest Inventories",
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  "Date": "2021-01-08",
  "Authors@R": "c(person(given = c(\"Andreas\"), family = \"Hill\",\nemail = \"andreas.hill@wald-rlp.de\", role = c(\"aut\",\"cre\")),\nperson(given = c(\"Alexander\"), family = \"Massey\",\nemail = \"stats.massey@gmail.com\", role = c(\"aut\")),\nperson(given = c(\"Daniel\"), family = \"Mandallaz\",\nemail = \"mdaniel@retired.ethz.ch\", role = c(\"ctb\"))\n)",
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  "Description": "Extensive global and small-area estimation procedures for\nmultiphase forest inventories under the design-based\nMonte-Carlo approach are provided. The implementation has been\npublished in the Journal of Statistical Software\n(<doi:10.18637/jss.v097.i04>) and includes estimators for\nsimple and cluster sampling published by Daniel Mandallaz in\n2007 (<doi:10.1201/9781584889779>), 2013\n(<doi:10.1139/cjfr-2012-0381>, <doi:10.1139/cjfr-2013-0181>,\n<doi:10.1139/cjfr-2013-0449>, <doi:10.3929/ethz-a-009990020>)\nand 2016 (<doi:10.3929/ethz-a-010579388>). It provides point\nestimates, their external- and design-based variances and\nconfidence intervals, as well as a set of functions to analyze\nand visualize the produced estimates. The procedures have also\nbeen optimized for the use of remote sensing data as auxiliary\ninformation, as demonstrated in 2018 by Hill et al.\n(<doi:10.3390/rs10071052>).",
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  "Author": "Andreas Hill [aut, cre], Alexander Massey [aut], Daniel\nMandallaz [ctb]",
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      "title": "Calculates Confidence Intervals for Global and Small-Area Estimations",
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      "page": "forestinventory",
      "title": "forestinventory: A package for computing design-based estimates for multiphase forest inventories",
      "topics": [
        "forestinventory"
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      "page": "grisons",
      "title": "Data from a multiphase forest inventory in the canton of Grisons, Switzerland",
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