Measuring statistical evidence using relative belief:
A Sound Basis for the Theory of Statistical InferenceMeasuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidenc...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2021
|
| Ausgabe: | First issued in paperback |
| Schriftenreihe: | Monographs on statistics and applied probability
144 |
| Zusammenfassung: | A Sound Basis for the Theory of Statistical InferenceMeasuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic question of when a statistical analysis is correct.The book attempts to establish a gold standard for how a statistical analysis should proceed. It first introduces basic features of the overall approach, such as the roles of subjectivity, objectivity, infinity, and utility in statistical analyses. It next discusses the meaning of probability and the various positions taken on probability. The author then focuses on the definition of statistical evidence and how it should be measured. He presents a method for measuring statistical evidence and develops a theory of inference based on this method. He also discusses how statisticians should choose the ingredients for a statistical problem and how these choices are to be checked for their relevance in an application |
| Beschreibung: | xvii, 232 Seiten Diagramme |
| ISBN: | 9781032098562 |
Internformat
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| 490 | 1 | |a Monographs on statistics and applied probability |v 144 | |
| 520 | |a A Sound Basis for the Theory of Statistical InferenceMeasuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic question of when a statistical analysis is correct.The book attempts to establish a gold standard for how a statistical analysis should proceed. It first introduces basic features of the overall approach, such as the roles of subjectivity, objectivity, infinity, and utility in statistical analyses. It next discusses the meaning of probability and the various positions taken on probability. The author then focuses on the definition of statistical evidence and how it should be measured. He presents a method for measuring statistical evidence and develops a theory of inference based on this method. He also discusses how statisticians should choose the ingredients for a statistical problem and how these choices are to be checked for their relevance in an application | ||
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Datensatz im Suchindex
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| author | Evans, Michael J. |
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| id | DE-604.BV047466490 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:08:06Z |
| indexdate | 2024-07-10T09:12:56Z |
| institution | BVB |
| isbn | 9781032098562 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032868193 |
| oclc_num | 1277015632 |
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| owner_facet | DE-19 DE-BY-UBM DE-11 |
| physical | xvii, 232 Seiten Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| series | Monographs on statistics and applied probability |
| series2 | Monographs on statistics and applied probability |
| spelling | Evans, Michael J. Verfasser (DE-588)142497886 aut Measuring statistical evidence using relative belief Michael Evans First issued in paperback Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2021 xvii, 232 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Monographs on statistics and applied probability 144 A Sound Basis for the Theory of Statistical InferenceMeasuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic question of when a statistical analysis is correct.The book attempts to establish a gold standard for how a statistical analysis should proceed. It first introduces basic features of the overall approach, such as the roles of subjectivity, objectivity, infinity, and utility in statistical analyses. It next discusses the meaning of probability and the various positions taken on probability. The author then focuses on the definition of statistical evidence and how it should be measured. He presents a method for measuring statistical evidence and develops a theory of inference based on this method. He also discusses how statisticians should choose the ingredients for a statistical problem and how these choices are to be checked for their relevance in an application Erscheint auch als Druck-Ausgabe, Hardcover (2015) 978-1-4822-4279-9 Monographs on statistics and applied probability 144 (DE-604)BV002494005 144 |
| spellingShingle | Evans, Michael J. Measuring statistical evidence using relative belief Monographs on statistics and applied probability |
| title | Measuring statistical evidence using relative belief |
| title_auth | Measuring statistical evidence using relative belief |
| title_exact_search | Measuring statistical evidence using relative belief |
| title_exact_search_txtP | Measuring statistical evidence using relative belief |
| title_full | Measuring statistical evidence using relative belief Michael Evans |
| title_fullStr | Measuring statistical evidence using relative belief Michael Evans |
| title_full_unstemmed | Measuring statistical evidence using relative belief Michael Evans |
| title_short | Measuring statistical evidence using relative belief |
| title_sort | measuring statistical evidence using relative belief |
| volume_link | (DE-604)BV002494005 |
| work_keys_str_mv | AT evansmichaelj measuringstatisticalevidenceusingrelativebelief |