Stereological inference on mean particle shape from vertical sections
Summary It was a major breakthrough when design‐based stereological methods for vertical sections were developed by Adrian Baddeley and coworkers in the 1980s. Most importantly, it was shown how to estimate in a design‐based fashion surface area from observations in random vertical sections with uni...
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Veröffentlicht in: | Australian & New Zealand journal of statistics 2021-03, Vol.63 (1), p.6-18 |
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It was a major breakthrough when design‐based stereological methods for vertical sections were developed by Adrian Baddeley and coworkers in the 1980s. Most importantly, it was shown how to estimate in a design‐based fashion surface area from observations in random vertical sections with uniform position and uniform rotation around the vertical axis. The great practical importance of these developments is due to the fact that some biostructures can only be recognised on vertical sections. Later, local design‐based estimation of mean particle volume from vertical sections was developed. In the present paper, we review these important advances in stereology. Quite recently, vertical sections have gained renewed interest, since it has been shown that mean particle shape can be estimated from such sections. These new developments are also reviewed in the present paper. |
doi_str_mv | 10.1111/anzs.12309 |
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It was a major breakthrough when design‐based stereological methods for vertical sections were developed by Adrian Baddeley and coworkers in the 1980s. Most importantly, it was shown how to estimate in a design‐based fashion surface area from observations in random vertical sections with uniform position and uniform rotation around the vertical axis. The great practical importance of these developments is due to the fact that some biostructures can only be recognised on vertical sections. Later, local design‐based estimation of mean particle volume from vertical sections was developed. In the present paper, we review these important advances in stereology. Quite recently, vertical sections have gained renewed interest, since it has been shown that mean particle shape can be estimated from such sections. These new developments are also reviewed in the present paper.</description><identifier>ISSN: 1369-1473</identifier><identifier>EISSN: 1467-842X</identifier><identifier>DOI: 10.1111/anzs.12309</identifier><language>eng</language><publisher>HOBOKEN: Wiley</publisher><subject>marked point processes ; Mathematics ; Outdoors ; Particle shape ; Physical Sciences ; Rapid prototyping ; Science & Technology ; Statistics & Probability ; Stereology ; surface area ; tensors ; Vertical orientation</subject><ispartof>Australian & New Zealand journal of statistics, 2021-03, Vol.63 (1), p.6-18</ispartof><rights>2020 John Wiley & Sons Australia, Ltd</rights><rights>Copyright © 2021 Australian Statistical Publishing Association Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>1</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000626817200001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c3379-2fd19a6668d7743973e1d51029a90dc5ccddf53fd20e465a6907404d8a58cca43</citedby><cites>FETCH-LOGICAL-c3379-2fd19a6668d7743973e1d51029a90dc5ccddf53fd20e465a6907404d8a58cca43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fanzs.12309$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fanzs.12309$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27928,27929,45578,45579</link.rule.ids></links><search><creatorcontrib>Vedel Jensen, Eva B.</creatorcontrib><title>Stereological inference on mean particle shape from vertical sections</title><title>Australian & New Zealand journal of statistics</title><addtitle>AUST NZ J STAT</addtitle><description>Summary
It was a major breakthrough when design‐based stereological methods for vertical sections were developed by Adrian Baddeley and coworkers in the 1980s. Most importantly, it was shown how to estimate in a design‐based fashion surface area from observations in random vertical sections with uniform position and uniform rotation around the vertical axis. The great practical importance of these developments is due to the fact that some biostructures can only be recognised on vertical sections. Later, local design‐based estimation of mean particle volume from vertical sections was developed. In the present paper, we review these important advances in stereology. Quite recently, vertical sections have gained renewed interest, since it has been shown that mean particle shape can be estimated from such sections. These new developments are also reviewed in the present paper.</description><subject>marked point processes</subject><subject>Mathematics</subject><subject>Outdoors</subject><subject>Particle shape</subject><subject>Physical Sciences</subject><subject>Rapid prototyping</subject><subject>Science & Technology</subject><subject>Statistics & Probability</subject><subject>Stereology</subject><subject>surface area</subject><subject>tensors</subject><subject>Vertical orientation</subject><issn>1369-1473</issn><issn>1467-842X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><recordid>eNqNkEtLAzEUhQdRsFY3_oIBd8rUvCaZLEupDyi6qIK4GWIemjJNxmSq1F9vxikuxWxyc_nOzbkny04hmMB0LoX7ihOIMOB72QgSyoqKoKf9VGPKC0gYPsyOYlwBAAnAdJTNl50O2jf-1UrR5NaZ9HRS597lay1c3orQWdnoPL6JVucm-HX-oftewqOWnfUuHmcHRjRRn-zucfZ4NX-Y3RSL--vb2XRRSIwZL5BRkAtKaaUYI5gzrKEqIUBccKBkKaVSpsRGIaAJLQXlgBFAVCXKSkpB8Dg7G-a2wb9vdOzqld8El76sUVliWiKKQKLOB0oGH2PQpm6DXYuwrSGo-5jqPqb6J6YEXwzwp37xJkrbb_8rAABQRCvIUKoATHT1f3pmO9HHM_Mb1yUp3Elto7d_WKqnd8_Lwdw3x_KK9g</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Vedel Jensen, Eva B.</creator><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>202103</creationdate><title>Stereological inference on mean particle shape from vertical sections</title><author>Vedel Jensen, Eva B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3379-2fd19a6668d7743973e1d51029a90dc5ccddf53fd20e465a6907404d8a58cca43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>marked point processes</topic><topic>Mathematics</topic><topic>Outdoors</topic><topic>Particle shape</topic><topic>Physical Sciences</topic><topic>Rapid prototyping</topic><topic>Science & Technology</topic><topic>Statistics & Probability</topic><topic>Stereology</topic><topic>surface area</topic><topic>tensors</topic><topic>Vertical orientation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vedel Jensen, Eva B.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Australian & New Zealand journal of statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vedel Jensen, Eva B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stereological inference on mean particle shape from vertical sections</atitle><jtitle>Australian & New Zealand journal of statistics</jtitle><stitle>AUST NZ J STAT</stitle><date>2021-03</date><risdate>2021</risdate><volume>63</volume><issue>1</issue><spage>6</spage><epage>18</epage><pages>6-18</pages><issn>1369-1473</issn><eissn>1467-842X</eissn><abstract>Summary
It was a major breakthrough when design‐based stereological methods for vertical sections were developed by Adrian Baddeley and coworkers in the 1980s. Most importantly, it was shown how to estimate in a design‐based fashion surface area from observations in random vertical sections with uniform position and uniform rotation around the vertical axis. The great practical importance of these developments is due to the fact that some biostructures can only be recognised on vertical sections. Later, local design‐based estimation of mean particle volume from vertical sections was developed. In the present paper, we review these important advances in stereology. Quite recently, vertical sections have gained renewed interest, since it has been shown that mean particle shape can be estimated from such sections. These new developments are also reviewed in the present paper.</abstract><cop>HOBOKEN</cop><pub>Wiley</pub><doi>10.1111/anzs.12309</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | marked point processes Mathematics Outdoors Particle shape Physical Sciences Rapid prototyping Science & Technology Statistics & Probability Stereology surface area tensors Vertical orientation |
title | Stereological inference on mean particle shape from vertical sections |
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