Bayesian statistics for the social sciences:
Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeab...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
Guilford Publications
2014
|
| Schriftenreihe: | Methodology in the social sciences
|
| Schlagworte: | |
| Online-Zugang: | UBG01 |
| Zusammenfassung: | Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statis |
| Beschreibung: | Description based upon print version of record |
| Beschreibung: | 1 Online-Ressource (xviii, 318 Seiten) Diagramme |
| ISBN: | 9781462516513 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV043515085 | ||
| 003 | DE-604 | ||
| 005 | 20180206 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 160418s2014 |||| o||u| ||||||eng d | ||
| 020 | |a 9781462516513 |c Online |9 978-1-4625-1651-3 | ||
| 035 | |a (OCoLC)891749728 | ||
| 035 | |a (DE-599)GBV793106419 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-473 | ||
| 050 | 0 | |a HA29 .K344 2014 | |
| 082 | 0 | |a 519.5/42 | |
| 100 | 1 | |a Kaplan, David |d 1955- |e Verfasser |0 (DE-588)130554995 |4 aut | |
| 245 | 1 | 0 | |a Bayesian statistics for the social sciences |c David Kaplan |
| 264 | 1 | |a New York |b Guilford Publications |c 2014 | |
| 300 | |a 1 Online-Ressource (xviii, 318 Seiten) |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Methodology in the social sciences | |
| 500 | |a Description based upon print version of record | ||
| 520 | 1 | |a Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statis | |
| 650 | 0 | 7 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Sozialwissenschaften |0 (DE-588)4055916-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
| 653 | |a aElectronic books | ||
| 689 | 0 | 0 | |a Sozialwissenschaften |0 (DE-588)4055916-6 |D s |
| 689 | 0 | 1 | |a Statistik |0 (DE-588)4056995-0 |D s |
| 689 | 0 | 2 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |t Bayesian statistics for the social sciences |w (DE-604)BV042050230 |
| 912 | |a ZDB-38-EBR | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028931173 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://site.ebrary.com/lib/ubbamberg/detail.action?docID=10895711 |l UBG01 |p ZDB-38-EBR |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804176158302928896 |
|---|---|
| any_adam_object | |
| author | Kaplan, David 1955- |
| author_GND | (DE-588)130554995 |
| author_facet | Kaplan, David 1955- |
| author_role | aut |
| author_sort | Kaplan, David 1955- |
| author_variant | d k dk |
| building | Verbundindex |
| bvnumber | BV043515085 |
| callnumber-first | H - Social Science |
| callnumber-label | HA29 |
| callnumber-raw | HA29 .K344 2014 |
| callnumber-search | HA29 .K344 2014 |
| callnumber-sort | HA 229 K344 42014 |
| callnumber-subject | HA - Statistics |
| collection | ZDB-38-EBR |
| ctrlnum | (OCoLC)891749728 (DE-599)GBV793106419 |
| dewey-full | 519.5/42 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/42 |
| dewey-search | 519.5/42 |
| dewey-sort | 3519.5 242 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02349nmm a2200457 c 4500</leader><controlfield tag="001">BV043515085</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20180206 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">160418s2014 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781462516513</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4625-1651-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)891749728</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV793106419</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="049" ind1=" " ind2=" "><subfield code="a">DE-473</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HA29 .K344 2014</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5/42</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kaplan, David</subfield><subfield code="d">1955-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)130554995</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Bayesian statistics for the social sciences</subfield><subfield code="c">David Kaplan</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York</subfield><subfield code="b">Guilford Publications</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xviii, 318 Seiten)</subfield><subfield code="b">Diagramme</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="490" ind1="0" ind2=" "><subfield code="a">Methodology in the social sciences</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based upon print version of record</subfield></datafield><datafield tag="520" ind1="1" ind2=" "><subfield code="a">Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statis</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bayes-Verfahren</subfield><subfield code="0">(DE-588)4204326-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Sozialwissenschaften</subfield><subfield code="0">(DE-588)4055916-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">aElectronic books</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Sozialwissenschaften</subfield><subfield code="0">(DE-588)4055916-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Bayes-Verfahren</subfield><subfield code="0">(DE-588)4204326-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="t">Bayesian statistics for the social sciences</subfield><subfield code="w">(DE-604)BV042050230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-38-EBR</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028931173</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://site.ebrary.com/lib/ubbamberg/detail.action?docID=10895711</subfield><subfield code="l">UBG01</subfield><subfield code="p">ZDB-38-EBR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV043515085 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:27:44Z |
| institution | BVB |
| isbn | 9781462516513 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028931173 |
| oclc_num | 891749728 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG |
| owner_facet | DE-473 DE-BY-UBG |
| physical | 1 Online-Ressource (xviii, 318 Seiten) Diagramme |
| psigel | ZDB-38-EBR |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Guilford Publications |
| record_format | marc |
| series2 | Methodology in the social sciences |
| spelling | Kaplan, David 1955- Verfasser (DE-588)130554995 aut Bayesian statistics for the social sciences David Kaplan New York Guilford Publications 2014 1 Online-Ressource (xviii, 318 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Methodology in the social sciences Description based upon print version of record Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statis Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf aElectronic books Sozialwissenschaften (DE-588)4055916-6 s Statistik (DE-588)4056995-0 s Bayes-Verfahren (DE-588)4204326-8 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Bayesian statistics for the social sciences (DE-604)BV042050230 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kaplan, David 1955- Bayesian statistics for the social sciences Bayes-Verfahren (DE-588)4204326-8 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4204326-8 (DE-588)4055916-6 (DE-588)4056995-0 |
| title | Bayesian statistics for the social sciences |
| title_auth | Bayesian statistics for the social sciences |
| title_exact_search | Bayesian statistics for the social sciences |
| title_full | Bayesian statistics for the social sciences David Kaplan |
| title_fullStr | Bayesian statistics for the social sciences David Kaplan |
| title_full_unstemmed | Bayesian statistics for the social sciences David Kaplan |
| title_short | Bayesian statistics for the social sciences |
| title_sort | bayesian statistics for the social sciences |
| topic | Bayes-Verfahren (DE-588)4204326-8 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Bayes-Verfahren Sozialwissenschaften Statistik |
| work_keys_str_mv | AT kaplandavid bayesianstatisticsforthesocialsciences |