A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models:
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Erlangen
Friedrich-Alexander-Universität Erlangen-Nürnberg
2017
|
Schlagworte: | |
Online-Zugang: | Volltext Volltext Volltext |
Beschreibung: | Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich |
Beschreibung: | 1 Online-Ressource |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV046047688 | ||
003 | DE-604 | ||
005 | 20190724 | ||
007 | cr|uuu---uuuuu | ||
008 | 190715s2017 gw |||| o||u| ||||||eng d | ||
015 | |a 19,O07 |2 dnb | ||
016 | 7 | |a 1189425068 |2 DE-101 | |
024 | 7 | |a urn:nbn:de:bvb:29-opus4-112203 |2 urn | |
035 | |a (OCoLC)1111898012 | ||
035 | |a (DE-599)DNB1189425068 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
044 | |a gw |c XA-DE-BY | ||
049 | |a DE-29 | ||
084 | |a 510 |2 sdnb | ||
100 | 1 | |a Mayr, Andreas |e Verfasser |4 aut | |
245 | 1 | 0 | |a A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models |c Andreas Mayr, Matthias Schmid, Annette Pfahlberg, Wolfgang Uter, Olaf Gefeller |
264 | 1 | |a Erlangen |b Friedrich-Alexander-Universität Erlangen-Nürnberg |c 2017 | |
300 | |a 1 Online-Ressource | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich | ||
583 | 1 | |a Archivierung/Langzeitarchivierung gewährleistet |5 DE-101 |2 pdager | |
653 | |a Measurement errors | ||
653 | |a systematic bias | ||
653 | |a random error | ||
653 | |a statistical models | ||
653 | |a permutation test | ||
653 | |a gradient boosting | ||
653 | |a regression | ||
700 | 1 | |a Schmid, Matthias |e Verfasser |4 aut | |
700 | 1 | |a Pfahlberg, Annette |e Verfasser |4 aut | |
700 | 1 | |a Uter, Wolfgang |e Verfasser |4 aut | |
700 | 1 | |a Gefeller, Olaf |e Verfasser |4 aut | |
787 | 0 | 8 | |i Sonderdruck aus |t Statistical Methods in Medical Research |g 26 (2017), Seite 1443 - 1460 |o 10.1177/0962280215581855 |
856 | 4 | 0 | |u https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-112203 |x Resolving-System |z kostenfrei |3 Volltext |
856 | 4 | 0 | |u http://d-nb.info/1189425068/34 |x Langzeitarchivierung Nationalbibliothek |z kostenfrei |3 Volltext |
856 | 4 | 0 | |u https://open.fau.de/handle/openfau/11220 |x Verlag |z kostenfrei |3 Volltext |
912 | |a ebook | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-031429259 | ||
347 | |b PDF |
Datensatz im Suchindex
_version_ | 1804180311799496704 |
---|---|
any_adam_object | |
author | Mayr, Andreas Schmid, Matthias Pfahlberg, Annette Uter, Wolfgang Gefeller, Olaf |
author_facet | Mayr, Andreas Schmid, Matthias Pfahlberg, Annette Uter, Wolfgang Gefeller, Olaf |
author_role | aut aut aut aut aut |
author_sort | Mayr, Andreas |
author_variant | a m am m s ms a p ap w u wu o g og |
building | Verbundindex |
bvnumber | BV046047688 |
collection | ebook |
ctrlnum | (OCoLC)1111898012 (DE-599)DNB1189425068 |
discipline | Mathematik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02164nmm a2200529zc 4500</leader><controlfield tag="001">BV046047688</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20190724 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190715s2017 gw |||| o||u| ||||||eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">19,O07</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1189425068</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:bvb:29-opus4-112203</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1111898012</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1189425068</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BY</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">510</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mayr, Andreas</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models</subfield><subfield code="c">Andreas Mayr, Matthias Schmid, Annette Pfahlberg, Wolfgang Uter, Olaf Gefeller</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Erlangen</subfield><subfield code="b">Friedrich-Alexander-Universität Erlangen-Nürnberg</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich</subfield></datafield><datafield tag="583" ind1="1" ind2=" "><subfield code="a">Archivierung/Langzeitarchivierung gewährleistet</subfield><subfield code="5">DE-101</subfield><subfield code="2">pdager</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Measurement errors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">systematic bias</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">random error</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">statistical models</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">permutation test</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gradient boosting</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regression</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schmid, Matthias</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pfahlberg, Annette</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Uter, Wolfgang</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gefeller, Olaf</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="787" ind1="0" ind2="8"><subfield code="i">Sonderdruck aus</subfield><subfield code="t">Statistical Methods in Medical Research</subfield><subfield code="g">26 (2017), Seite 1443 - 1460</subfield><subfield code="o">10.1177/0962280215581855</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-112203</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://d-nb.info/1189425068/34</subfield><subfield code="x">Langzeitarchivierung Nationalbibliothek</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://open.fau.de/handle/openfau/11220</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031429259</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="b">PDF</subfield></datafield></record></collection> |
id | DE-604.BV046047688 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:33:45Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031429259 |
oclc_num | 1111898012 |
open_access_boolean | 1 |
owner | DE-29 |
owner_facet | DE-29 |
physical | 1 Online-Ressource |
psigel | ebook |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | Friedrich-Alexander-Universität Erlangen-Nürnberg |
record_format | marc |
spelling | Mayr, Andreas Verfasser aut A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models Andreas Mayr, Matthias Schmid, Annette Pfahlberg, Wolfgang Uter, Olaf Gefeller Erlangen Friedrich-Alexander-Universität Erlangen-Nürnberg 2017 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Measurement errors systematic bias random error statistical models permutation test gradient boosting regression Schmid, Matthias Verfasser aut Pfahlberg, Annette Verfasser aut Uter, Wolfgang Verfasser aut Gefeller, Olaf Verfasser aut Sonderdruck aus Statistical Methods in Medical Research 26 (2017), Seite 1443 - 1460 10.1177/0962280215581855 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-112203 Resolving-System kostenfrei Volltext http://d-nb.info/1189425068/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext https://open.fau.de/handle/openfau/11220 Verlag kostenfrei Volltext |
spellingShingle | Mayr, Andreas Schmid, Matthias Pfahlberg, Annette Uter, Wolfgang Gefeller, Olaf A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models |
title | A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models |
title_auth | A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models |
title_exact_search | A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models |
title_full | A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models Andreas Mayr, Matthias Schmid, Annette Pfahlberg, Wolfgang Uter, Olaf Gefeller |
title_fullStr | A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models Andreas Mayr, Matthias Schmid, Annette Pfahlberg, Wolfgang Uter, Olaf Gefeller |
title_full_unstemmed | A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models Andreas Mayr, Matthias Schmid, Annette Pfahlberg, Wolfgang Uter, Olaf Gefeller |
title_short | A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models |
title_sort | a permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models |
url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-112203 http://d-nb.info/1189425068/34 https://open.fau.de/handle/openfau/11220 |
work_keys_str_mv | AT mayrandreas apermutationtesttoanalysesystematicbiasandrandommeasurementerrorsofmedicaldevicesviaboostinglocationandscalemodels AT schmidmatthias apermutationtesttoanalysesystematicbiasandrandommeasurementerrorsofmedicaldevicesviaboostinglocationandscalemodels AT pfahlbergannette apermutationtesttoanalysesystematicbiasandrandommeasurementerrorsofmedicaldevicesviaboostinglocationandscalemodels AT uterwolfgang apermutationtesttoanalysesystematicbiasandrandommeasurementerrorsofmedicaldevicesviaboostinglocationandscalemodels AT gefellerolaf apermutationtesttoanalysesystematicbiasandrandommeasurementerrorsofmedicaldevicesviaboostinglocationandscalemodels |