sensitivity of measurement error in stand volume estimation
A method is given for approximating and evaluating the consequences of random and nonrandom errors in the independent variables of a nonlinear tree volume function that is used in the estimation of stand volume based on a simple random sample of plots. Sampling error, regression function error, and...
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Veröffentlicht in: | Canadian journal of forest research 1990-06, Vol.20 (6), p.800-804 |
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container_title | Canadian journal of forest research |
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creator | Gertner, G.Z |
description | A method is given for approximating and evaluating the consequences of random and nonrandom errors in the independent variables of a nonlinear tree volume function that is used in the estimation of stand volume based on a simple random sample of plots. Sampling error, regression function error, and measurement error are accounted for with the method presented. An application is given where relatively moderate amounts of measurement error in the independent variables of a tree volume function can cause a relatively large reduction in the accuracy of estimated stand volume. |
doi_str_mv | 10.1139/x90-105 |
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Sampling error, regression function error, and measurement error are accounted for with the method presented. An application is given where relatively moderate amounts of measurement error in the independent variables of a tree volume function can cause a relatively large reduction in the accuracy of estimated stand volume.</description><identifier>ISSN: 0045-5067</identifier><identifier>EISSN: 1208-6037</identifier><identifier>DOI: 10.1139/x90-105</identifier><identifier>CODEN: CJFRAR</identifier><language>eng</language><publisher>Ottawa, Canada: NRC Research Press</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; Dendrometry. Forest inventory ; errors ; estimation ; Forestry ; forests ; Fundamental and applied biological sciences. Psychology ; mathematical models ; volume</subject><ispartof>Canadian journal of forest research, 1990-06, Vol.20 (6), p.800-804</ispartof><rights>1991 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c244t-1c690bc2858f3be3fc41ecf2ecf2a553408a49b88133beb2054aa511765b24e13</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19258152$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Gertner, G.Z</creatorcontrib><title>sensitivity of measurement error in stand volume estimation</title><title>Canadian journal of forest research</title><addtitle>Revue canadienne de recherche forestière</addtitle><description>A method is given for approximating and evaluating the consequences of random and nonrandom errors in the independent variables of a nonlinear tree volume function that is used in the estimation of stand volume based on a simple random sample of plots. Sampling error, regression function error, and measurement error are accounted for with the method presented. An application is given where relatively moderate amounts of measurement error in the independent variables of a tree volume function can cause a relatively large reduction in the accuracy of estimated stand volume.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Dendrometry. Forest inventory</subject><subject>errors</subject><subject>estimation</subject><subject>Forestry</subject><subject>forests</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>mathematical models</subject><subject>volume</subject><issn>0045-5067</issn><issn>1208-6037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><recordid>eNp9j01LAzEQhoMoWKv4E9yLCMLqTL42iycpfkHBg_a8ZGOike5uSdLS_ntTVvDmYZiB9-FhXkLOEW4QWX27raFEEAdkghRUKYFVh2QCwEUpQFbH5CTGbwBgksGE3EXbR5_8xqddMbiiszqug-1snwobwhAK3xcx6f6j2AzLdWcLG5PvdPJDf0qOnF5Ge_a7p2Tx-PA-ey7nr08vs_t5aSjnqUQja2gNVUI51lrmDEdrHN2PFoJxUJrXrVLIctxSEFxrgVhJ0VJukU3J1eg1YYgxWNesQn4h7BqEZt-5yZ3zLTJ5OZIrHY1euqB74-MfXlOhUNDMXY9cH0yw0epgvv6RXoyw00OjP0MWLt4oIAMqJa2xYj8Mbm1X</recordid><startdate>19900601</startdate><enddate>19900601</enddate><creator>Gertner, G.Z</creator><general>NRC Research Press</general><general>National Research Council of Canada</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19900601</creationdate><title>sensitivity of measurement error in stand volume estimation</title><author>Gertner, G.Z</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c244t-1c690bc2858f3be3fc41ecf2ecf2a553408a49b88133beb2054aa511765b24e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Dendrometry. Forest inventory</topic><topic>errors</topic><topic>estimation</topic><topic>Forestry</topic><topic>forests</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>mathematical models</topic><topic>volume</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gertner, G.Z</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Canadian journal of forest research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gertner, G.Z</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>sensitivity of measurement error in stand volume estimation</atitle><jtitle>Canadian journal of forest research</jtitle><addtitle>Revue canadienne de recherche forestière</addtitle><date>1990-06-01</date><risdate>1990</risdate><volume>20</volume><issue>6</issue><spage>800</spage><epage>804</epage><pages>800-804</pages><issn>0045-5067</issn><eissn>1208-6037</eissn><coden>CJFRAR</coden><abstract>A method is given for approximating and evaluating the consequences of random and nonrandom errors in the independent variables of a nonlinear tree volume function that is used in the estimation of stand volume based on a simple random sample of plots. Sampling error, regression function error, and measurement error are accounted for with the method presented. An application is given where relatively moderate amounts of measurement error in the independent variables of a tree volume function can cause a relatively large reduction in the accuracy of estimated stand volume.</abstract><cop>Ottawa, Canada</cop><pub>NRC Research Press</pub><doi>10.1139/x90-105</doi><tpages>5</tpages></addata></record> |
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ispartof | Canadian journal of forest research, 1990-06, Vol.20 (6), p.800-804 |
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subjects | Agronomy. Soil science and plant productions Biological and medical sciences Dendrometry. Forest inventory errors estimation Forestry forests Fundamental and applied biological sciences. Psychology mathematical models volume |
title | sensitivity of measurement error in stand volume estimation |
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