Maximum entropy and Bayesian methods in applied statistics: proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984
This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based o...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
1986
|
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (319 pages) |
| ISBN: | 9780511569678 |
| DOI: | 10.1017/CBO9780511569678 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043946071 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 161206s1986 |||| o||u| ||||||eng d | ||
| 020 | |a 9780511569678 |c Online |9 978-0-511-56967-8 | ||
| 024 | 7 | |a 10.1017/CBO9780511569678 |2 doi | |
| 035 | |a (ZDB-20-CBO)CR9780511569678 | ||
| 035 | |a (OCoLC)967606077 | ||
| 035 | |a (DE-599)BVBBV043946071 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-12 |a DE-92 | ||
| 082 | 0 | |a 001.53/9 |2 19eng | |
| 084 | |a QH 233 |0 (DE-625)141548: |2 rvk | ||
| 084 | |a SD 1984 |0 (DE-625)142718: |2 rvk | ||
| 110 | 2 | |a Maximum Entropy Workshop < 1984, University of Calgary> |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Maximum entropy and Bayesian methods in applied statistics |b proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 |c edited by James H. Justice |
| 246 | 1 | 3 | |a Maximum Entropy & Bayesian Methods in Applied Statistics |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 1986 | |
| 300 | |a 1 online resource (319 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Title from publisher's bibliographic system (viewed on 05 Oct 2015) | ||
| 520 | |a This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied | ||
| 650 | 4 | |a Entropy (Information theory) / Congresses | |
| 650 | 4 | |a Bayesian statistical decision theory / Congresses | |
| 650 | 0 | 7 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maximum-Entropie-Methode |0 (DE-588)4277537-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Bayes-Entscheidungstheorie |0 (DE-588)4144220-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Entropie |0 (DE-588)4014894-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Physik |0 (DE-588)4045956-1 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Bayes-Entscheidungstheorie |0 (DE-588)4144220-9 |D s |
| 689 | 0 | 1 | |a Maximum-Entropie-Methode |0 (DE-588)4277537-1 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Entropie |0 (DE-588)4014894-4 |D s |
| 689 | 1 | 1 | |a Bayes-Entscheidungstheorie |0 (DE-588)4144220-9 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 689 | 2 | 0 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |D s |
| 689 | 2 | |8 3\p |5 DE-604 | |
| 689 | 3 | 0 | |a Physik |0 (DE-588)4045956-1 |D s |
| 689 | 3 | |8 4\p |5 DE-604 | |
| 700 | 1 | |a Justice, James H. |d 1941- |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druckausgabe |z 978-0-521-09603-4 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druckausgabe |z 978-0-521-32380-2 |
| 856 | 4 | 0 | |u https://doi.org/10.1017/CBO9780511569678 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-20-CBO | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029355042 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 4\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511569678 |l BSB01 |p ZDB-20-CBO |q BSB_PDA_CBO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511569678 |l FHN01 |p ZDB-20-CBO |q FHN_PDA_CBO |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804176893019160576 |
|---|---|
| any_adam_object | |
| author2 | Justice, James H. 1941- |
| author2_role | edt |
| author2_variant | j h j jh jhj |
| author_corporate | Maximum Entropy Workshop < 1984, University of Calgary> |
| author_corporate_role | aut |
| author_facet | Justice, James H. 1941- Maximum Entropy Workshop < 1984, University of Calgary> |
| author_sort | Maximum Entropy Workshop < 1984, University of Calgary> |
| building | Verbundindex |
| bvnumber | BV043946071 |
| classification_rvk | QH 233 SD 1984 |
| collection | ZDB-20-CBO |
| ctrlnum | (ZDB-20-CBO)CR9780511569678 (OCoLC)967606077 (DE-599)BVBBV043946071 |
| dewey-full | 001.53/9 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.53/9 |
| dewey-search | 001.53/9 |
| dewey-sort | 11.53 19 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511569678 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04257nmm a2200697zc 4500</leader><controlfield tag="001">BV043946071</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">161206s1986 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780511569678</subfield><subfield code="c">Online</subfield><subfield code="9">978-0-511-56967-8</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/CBO9780511569678</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9780511569678</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)967606077</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043946071</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-12</subfield><subfield code="a">DE-92</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">001.53/9</subfield><subfield code="2">19eng</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 233</subfield><subfield code="0">(DE-625)141548:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SD 1984</subfield><subfield code="0">(DE-625)142718:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="110" ind1="2" ind2=" "><subfield code="a">Maximum Entropy Workshop < 1984, University of Calgary></subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Maximum entropy and Bayesian methods in applied statistics</subfield><subfield code="b">proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984</subfield><subfield code="c">edited by James H. Justice</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Maximum Entropy & Bayesian Methods in Applied Statistics</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">1986</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (319 pages)</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">Title from publisher's bibliographic system (viewed on 05 Oct 2015)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Entropy (Information theory) / Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian statistical decision theory / Congresses</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">Maximum-Entropie-Methode</subfield><subfield code="0">(DE-588)4277537-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bayes-Entscheidungstheorie</subfield><subfield code="0">(DE-588)4144220-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Entropie</subfield><subfield code="0">(DE-588)4014894-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Physik</subfield><subfield code="0">(DE-588)4045956-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bayes-Entscheidungstheorie</subfield><subfield code="0">(DE-588)4144220-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Maximum-Entropie-Methode</subfield><subfield code="0">(DE-588)4277537-1</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="689" ind1="1" ind2="0"><subfield code="a">Entropie</subfield><subfield code="0">(DE-588)4014894-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Bayes-Entscheidungstheorie</subfield><subfield code="0">(DE-588)4144220-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Bayes-Verfahren</subfield><subfield code="0">(DE-588)4204326-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Physik</subfield><subfield code="0">(DE-588)4045956-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="8">4\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Justice, James H.</subfield><subfield code="d">1941-</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druckausgabe</subfield><subfield code="z">978-0-521-09603-4</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druckausgabe</subfield><subfield code="z">978-0-521-32380-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/CBO9780511569678</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029355042</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="883" ind1="1" ind2=" "><subfield code="8">2\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="883" ind1="1" ind2=" "><subfield code="8">3\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="883" ind1="1" ind2=" "><subfield code="8">4\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">https://doi.org/10.1017/CBO9780511569678</subfield><subfield code="l">BSB01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9780511569678</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift gnd-content |
| genre_facet | Konferenzschrift |
| id | DE-604.BV043946071 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:25Z |
| institution | BVB |
| isbn | 9780511569678 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029355042 |
| oclc_num | 967606077 |
| open_access_boolean | |
| owner | DE-12 DE-92 |
| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (319 pages) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
| publishDate | 1986 |
| publishDateSearch | 1986 |
| publishDateSort | 1986 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Maximum Entropy Workshop < 1984, University of Calgary> Verfasser aut Maximum entropy and Bayesian methods in applied statistics proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 edited by James H. Justice Maximum Entropy & Bayesian Methods in Applied Statistics Cambridge Cambridge University Press 1986 1 online resource (319 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied Entropy (Information theory) / Congresses Bayesian statistical decision theory / Congresses Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Maximum-Entropie-Methode (DE-588)4277537-1 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Entropie (DE-588)4014894-4 gnd rswk-swf Physik (DE-588)4045956-1 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Bayes-Entscheidungstheorie (DE-588)4144220-9 s Maximum-Entropie-Methode (DE-588)4277537-1 s 1\p DE-604 Entropie (DE-588)4014894-4 s 2\p DE-604 Bayes-Verfahren (DE-588)4204326-8 s 3\p DE-604 Physik (DE-588)4045956-1 s 4\p DE-604 Justice, James H. 1941- edt Erscheint auch als Druckausgabe 978-0-521-09603-4 Erscheint auch als Druckausgabe 978-0-521-32380-2 https://doi.org/10.1017/CBO9780511569678 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Maximum entropy and Bayesian methods in applied statistics proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 Entropy (Information theory) / Congresses Bayesian statistical decision theory / Congresses Bayes-Verfahren (DE-588)4204326-8 gnd Maximum-Entropie-Methode (DE-588)4277537-1 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Entropie (DE-588)4014894-4 gnd Physik (DE-588)4045956-1 gnd |
| subject_GND | (DE-588)4204326-8 (DE-588)4277537-1 (DE-588)4144220-9 (DE-588)4014894-4 (DE-588)4045956-1 (DE-588)1071861417 |
| title | Maximum entropy and Bayesian methods in applied statistics proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 |
| title_alt | Maximum Entropy & Bayesian Methods in Applied Statistics |
| title_auth | Maximum entropy and Bayesian methods in applied statistics proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 |
| title_exact_search | Maximum entropy and Bayesian methods in applied statistics proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 |
| title_full | Maximum entropy and Bayesian methods in applied statistics proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 edited by James H. Justice |
| title_fullStr | Maximum entropy and Bayesian methods in applied statistics proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 edited by James H. Justice |
| title_full_unstemmed | Maximum entropy and Bayesian methods in applied statistics proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 edited by James H. Justice |
| title_short | Maximum entropy and Bayesian methods in applied statistics |
| title_sort | maximum entropy and bayesian methods in applied statistics proceedings of the fourth maximum entropy workshop university of calgary 1984 |
| title_sub | proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984 |
| topic | Entropy (Information theory) / Congresses Bayesian statistical decision theory / Congresses Bayes-Verfahren (DE-588)4204326-8 gnd Maximum-Entropie-Methode (DE-588)4277537-1 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Entropie (DE-588)4014894-4 gnd Physik (DE-588)4045956-1 gnd |
| topic_facet | Entropy (Information theory) / Congresses Bayesian statistical decision theory / Congresses Bayes-Verfahren Maximum-Entropie-Methode Bayes-Entscheidungstheorie Entropie Physik Konferenzschrift |
| url | https://doi.org/10.1017/CBO9780511569678 |
| work_keys_str_mv | AT maximumentropyworkshop1984universityofcalgary maximumentropyandbayesianmethodsinappliedstatisticsproceedingsofthefourthmaximumentropyworkshopuniversityofcalgary1984 AT justicejamesh maximumentropyandbayesianmethodsinappliedstatisticsproceedingsofthefourthmaximumentropyworkshopuniversityofcalgary1984 AT maximumentropyworkshop1984universityofcalgary maximumentropybayesianmethodsinappliedstatistics AT justicejamesh maximumentropybayesianmethodsinappliedstatistics |