A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior

Gespeichert in:

Autor*in:	Deng, Haisong [verfasserIn] Ma, Yizhong Shao, Wenze Tu, Yiliu

Format:	Artikel

Erschienen:	2012

Umfang:	22

Übergeordnetes Werk:	Enthalten in: Communications in statistics / Theory and methods - London : Taylor and Francis, 1982, 41(2012), 5 vom: 1. März, Seite 829-851
Übergeordnetes Werk:	volume:41 ; year:2012 ; number:5 ; day:1 ; month:03 ; pages:829-851 ; extent:22

Katalog-ID:	OLC1898494436

Internformat


LEADER	01000caa a22002652 4500
001	OLC1898494436
003	DE-627
005	20220221022713.0
007	tu
008	120625s2012 xx \|\|\|\|\| 00\| \|\|und c
028	5	2	\|a sw120622_1
035			\|a (DE-627)OLC1898494436
035			\|a (DE-599)GBVOLC1898494436
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
082	0	4	\|a 510
084			\|a 31.73 \|2 bkl
100	1		\|a Deng, Haisong \|e verfasserin \|4 aut
245	1	2	\|a A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
264		1	\|c 2012
300			\|a 22
336			\|a Text \|b txt \|2 rdacontent
337			\|a ohne Hilfsmittel zu benutzen \|b n \|2 rdamedia
338			\|a Band \|b nc \|2 rdacarrier
700	1		\|a Ma, Yizhong \|4 oth
700	1		\|a Shao, Wenze \|4 oth
700	1		\|a Tu, Yiliu \|4 oth
773	0	8	\|i Enthalten in \|t Communications in statistics / Theory and methods \|d London : Taylor and Francis, 1982 \|g 41(2012), 5 vom: 1. März, Seite 829-851 \|w (DE-627)129862290 \|w (DE-600)283673-7 \|w (DE-576)015173747 \|x 0361-0926 \|7 nnns
773	1	8	\|g volume:41 \|g year:2012 \|g number:5 \|g day:1 \|g month:03 \|g pages:829-851 \|g extent:22
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_OLC
912			\|a SSG-OLC-MAT
912			\|a SSG-OPC-MAT
912			\|a GBV_ILN_70
912			\|a GBV_ILN_100
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_4012
936	b	k	\|a 31.73 \|q AVZ
951			\|a AR
952			\|d 41 \|j 2012 \|e 5 \|b 1 \|c 3 \|h 829-851 \|g 22

Indexfelder

author_variant	h d hd
matchkey_str	article:03610926:2012----::bysamtmdlnapocfrasintcatcrcsmdlui
hierarchy_sort_str	2012
bklnumber	31.73
publishDate	2012
allfields	sw120622_1 (DE-627)OLC1898494436 (DE-599)GBVOLC1898494436 DE-627 ger DE-627 rakwb 510 31.73 bkl Deng, Haisong verfasserin aut A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior 2012 22 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Ma, Yizhong oth Shao, Wenze oth Tu, Yiliu oth Enthalten in Communications in statistics / Theory and methods London : Taylor and Francis, 1982 41(2012), 5 vom: 1. März, Seite 829-851 (DE-627)129862290 (DE-600)283673-7 (DE-576)015173747 0361-0926 nnns volume:41 year:2012 number:5 day:1 month:03 pages:829-851 extent:22 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_100 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2088 GBV_ILN_4012 31.73 AVZ AR 41 2012 5 1 3 829-851 22
spelling	sw120622_1 (DE-627)OLC1898494436 (DE-599)GBVOLC1898494436 DE-627 ger DE-627 rakwb 510 31.73 bkl Deng, Haisong verfasserin aut A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior 2012 22 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Ma, Yizhong oth Shao, Wenze oth Tu, Yiliu oth Enthalten in Communications in statistics / Theory and methods London : Taylor and Francis, 1982 41(2012), 5 vom: 1. März, Seite 829-851 (DE-627)129862290 (DE-600)283673-7 (DE-576)015173747 0361-0926 nnns volume:41 year:2012 number:5 day:1 month:03 pages:829-851 extent:22 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_100 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2088 GBV_ILN_4012 31.73 AVZ AR 41 2012 5 1 3 829-851 22
allfields_unstemmed	sw120622_1 (DE-627)OLC1898494436 (DE-599)GBVOLC1898494436 DE-627 ger DE-627 rakwb 510 31.73 bkl Deng, Haisong verfasserin aut A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior 2012 22 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Ma, Yizhong oth Shao, Wenze oth Tu, Yiliu oth Enthalten in Communications in statistics / Theory and methods London : Taylor and Francis, 1982 41(2012), 5 vom: 1. März, Seite 829-851 (DE-627)129862290 (DE-600)283673-7 (DE-576)015173747 0361-0926 nnns volume:41 year:2012 number:5 day:1 month:03 pages:829-851 extent:22 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_100 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2088 GBV_ILN_4012 31.73 AVZ AR 41 2012 5 1 3 829-851 22
allfieldsGer	sw120622_1 (DE-627)OLC1898494436 (DE-599)GBVOLC1898494436 DE-627 ger DE-627 rakwb 510 31.73 bkl Deng, Haisong verfasserin aut A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior 2012 22 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Ma, Yizhong oth Shao, Wenze oth Tu, Yiliu oth Enthalten in Communications in statistics / Theory and methods London : Taylor and Francis, 1982 41(2012), 5 vom: 1. März, Seite 829-851 (DE-627)129862290 (DE-600)283673-7 (DE-576)015173747 0361-0926 nnns volume:41 year:2012 number:5 day:1 month:03 pages:829-851 extent:22 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_100 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2088 GBV_ILN_4012 31.73 AVZ AR 41 2012 5 1 3 829-851 22
allfieldsSound	sw120622_1 (DE-627)OLC1898494436 (DE-599)GBVOLC1898494436 DE-627 ger DE-627 rakwb 510 31.73 bkl Deng, Haisong verfasserin aut A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior 2012 22 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Ma, Yizhong oth Shao, Wenze oth Tu, Yiliu oth Enthalten in Communications in statistics / Theory and methods London : Taylor and Francis, 1982 41(2012), 5 vom: 1. März, Seite 829-851 (DE-627)129862290 (DE-600)283673-7 (DE-576)015173747 0361-0926 nnns volume:41 year:2012 number:5 day:1 month:03 pages:829-851 extent:22 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_100 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2088 GBV_ILN_4012 31.73 AVZ AR 41 2012 5 1 3 829-851 22
source	Enthalten in Communications in statistics / Theory and methods 41(2012), 5 vom: 1. März, Seite 829-851 volume:41 year:2012 number:5 day:1 month:03 pages:829-851 extent:22
sourceStr	Enthalten in Communications in statistics / Theory and methods 41(2012), 5 vom: 1. März, Seite 829-851 volume:41 year:2012 number:5 day:1 month:03 pages:829-851 extent:22
format_phy_str_mv	Article
institution	findex.gbv.de
dewey-raw	510
isfreeaccess_bool	false
container_title	Communications in statistics / Theory and methods
authorswithroles_txt_mv	Deng, Haisong @@aut@@ Ma, Yizhong @@oth@@ Shao, Wenze @@oth@@ Tu, Yiliu @@oth@@
publishDateDaySort_date	2012-03-01T00:00:00Z
hierarchy_top_id	129862290
dewey-sort	3510
id	OLC1898494436
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC1898494436</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220221022713.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">120625s2012 xx \|\|\|\|\| 00\| \|\|und c</controlfield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">sw120622_1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1898494436</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1898494436</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">31.73</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Deng, Haisong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">22</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ma, Yizhong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shao, Wenze</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tu, Yiliu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Communications in statistics / Theory and methods</subfield><subfield code="d">London : Taylor and Francis, 1982</subfield><subfield code="g">41(2012), 5 vom: 1. März, Seite 829-851</subfield><subfield code="w">(DE-627)129862290</subfield><subfield code="w">(DE-600)283673-7</subfield><subfield code="w">(DE-576)015173747</subfield><subfield code="x">0361-0926</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:41</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:5</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:829-851</subfield><subfield code="g">extent:22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">31.73</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">41</subfield><subfield code="j">2012</subfield><subfield code="e">5</subfield><subfield code="b">1</subfield><subfield code="c">3</subfield><subfield code="h">829-851</subfield><subfield code="g">22</subfield></datafield></record></collection>
author	Deng, Haisong
spellingShingle	Deng, Haisong ddc 510 bkl 31.73 A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
authorStr	Deng, Haisong
ppnlink_with_tag_str_mv	@@773@@(DE-627)129862290
format	Article
dewey-ones	510 - Mathematics
delete_txt_mv	keep
author_role	aut
collection	OLC
remote_str	false
illustrated	Not Illustrated
issn	0361-0926
topic_title	510 31.73 bkl A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
topic	ddc 510 bkl 31.73
topic_unstemmed	ddc 510 bkl 31.73
topic_browse	ddc 510 bkl 31.73
format_facet	Aufsätze Gedruckte Aufsätze
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	nc
author2_variant	y m ym w s ws y t yt
hierarchy_parent_title	Communications in statistics / Theory and methods
hierarchy_parent_id	129862290
dewey-tens	510 - Mathematics
hierarchy_top_title	Communications in statistics / Theory and methods
isfreeaccess_txt	false
familylinks_str_mv	(DE-627)129862290 (DE-600)283673-7 (DE-576)015173747
title	A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
ctrlnum	(DE-627)OLC1898494436 (DE-599)GBVOLC1898494436
title_full	A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
author_sort	Deng, Haisong
journal	Communications in statistics / Theory and methods
journalStr	Communications in statistics / Theory and methods
isOA_bool	false
dewey-hundreds	500 - Science
recordtype	marc
publishDateSort	2012
contenttype_str_mv	txt
container_start_page	829
author_browse	Deng, Haisong
container_volume	41
physical	22
class	510 31.73 bkl
format_se	Aufsätze
author-letter	Deng, Haisong
dewey-full	510
title_sort	bayesian meta-modeling approach for gaussian stochastic process models using a non informative prior
title_auth	A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_100 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2088 GBV_ILN_4012
container_issue	5
title_short	A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
remote_bool	false
author2	Ma, Yizhong Shao, Wenze Tu, Yiliu
author2Str	Ma, Yizhong Shao, Wenze Tu, Yiliu
ppnlink	129862290
mediatype_str_mv	n
isOA_txt	false
hochschulschrift_bool	false
author2_role	oth oth oth
up_date	2024-07-03T13:38:47.102Z
_version_	1803565323625955328
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC1898494436</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220221022713.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">120625s2012 xx \|\|\|\|\| 00\| \|\|und c</controlfield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">sw120622_1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1898494436</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1898494436</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">31.73</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Deng, Haisong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">22</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ma, Yizhong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shao, Wenze</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tu, Yiliu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Communications in statistics / Theory and methods</subfield><subfield code="d">London : Taylor and Francis, 1982</subfield><subfield code="g">41(2012), 5 vom: 1. März, Seite 829-851</subfield><subfield code="w">(DE-627)129862290</subfield><subfield code="w">(DE-600)283673-7</subfield><subfield code="w">(DE-576)015173747</subfield><subfield code="x">0361-0926</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:41</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:5</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:829-851</subfield><subfield code="g">extent:22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">31.73</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">41</subfield><subfield code="j">2012</subfield><subfield code="e">5</subfield><subfield code="b">1</subfield><subfield code="c">3</subfield><subfield code="h">829-851</subfield><subfield code="g">22</subfield></datafield></record></collection>
score	7.4012938

Nicht das Richtige dabei?

Schreiben Sie uns!

A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?