Random sets in econometrics:
Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not it...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2018
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| Schriftenreihe: | Econometric Society monographs
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UER01 Volltext |
| Zusammenfassung: | Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not its exact value. Random set theory provides a coherent mathematical framework to conduct identification analysis and statistical inference in this setting and has become a fundamental tool in econometrics and finance. This is the first book dedicated to the use of the theory in econometrics, written to be accessible for readers without a background in pure mathematics. Molchanov and Molinari define the basics of the theory and illustrate the mathematical concepts by their application in the analysis of econometric models. The book includes sets of exercises to accompany each chapter as well as examples to help readers apply the theory effectively |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Apr 2018) |
| Beschreibung: | 1 online resource (xvii, 178 pages) |
| DOI: | 10.1017/9781316392973 |
Internformat
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Datensatz im Suchindex
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| author | Molchanov, Ilya S. 1962- Molinari, Francesca |
| author_facet | Molchanov, Ilya S. 1962- Molinari, Francesca |
| author_role | aut aut |
| author_sort | Molchanov, Ilya S. 1962- |
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| dewey-full | 330.01/5192 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
| dewey-raw | 330.01/5192 |
| dewey-search | 330.01/5192 |
| dewey-sort | 3330.01 45192 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/9781316392973 |
| format | Electronic eBook |
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| id | DE-604.BV045019108 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:06:57Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030404356 |
| oclc_num | 1035197745 |
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| owner_facet | DE-12 DE-29 DE-92 |
| physical | 1 online resource (xvii, 178 pages) |
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| publishDate | 2018 |
| publishDateSearch | 2018 |
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| publisher | Cambridge University Press |
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| series2 | Econometric Society monographs |
| spelling | Molchanov, Ilya S. 1962- Verfasser aut Random sets in econometrics Ilya Molchanov, University of Bern, Francesca Molinari, Cornell University Cambridge Cambridge University Press 2018 1 online resource (xvii, 178 pages) txt rdacontent c rdamedia cr rdacarrier Econometric Society monographs Title from publisher's bibliographic system (viewed on 05 Apr 2018) Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not its exact value. Random set theory provides a coherent mathematical framework to conduct identification analysis and statistical inference in this setting and has become a fundamental tool in econometrics and finance. This is the first book dedicated to the use of the theory in econometrics, written to be accessible for readers without a background in pure mathematics. Molchanov and Molinari define the basics of the theory and illustrate the mathematical concepts by their application in the analysis of econometric models. The book includes sets of exercises to accompany each chapter as well as examples to help readers apply the theory effectively Econometrics Random sets Ökonometrie (DE-588)4132280-0 gnd rswk-swf Zufällige Menge (DE-588)4333329-1 gnd rswk-swf Ökonometrie (DE-588)4132280-0 s Zufällige Menge (DE-588)4333329-1 s 1\p DE-604 Molinari, Francesca Verfasser aut Erscheint auch als Druck-Ausgabe, hardback 9781107121201 Erscheint auch als Druck-Ausgabe, paperback 9781107548732 https://doi.org/10.1017/9781316392973 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Molchanov, Ilya S. 1962- Molinari, Francesca Random sets in econometrics Econometrics Random sets Ökonometrie (DE-588)4132280-0 gnd Zufällige Menge (DE-588)4333329-1 gnd |
| subject_GND | (DE-588)4132280-0 (DE-588)4333329-1 |
| title | Random sets in econometrics |
| title_auth | Random sets in econometrics |
| title_exact_search | Random sets in econometrics |
| title_full | Random sets in econometrics Ilya Molchanov, University of Bern, Francesca Molinari, Cornell University |
| title_fullStr | Random sets in econometrics Ilya Molchanov, University of Bern, Francesca Molinari, Cornell University |
| title_full_unstemmed | Random sets in econometrics Ilya Molchanov, University of Bern, Francesca Molinari, Cornell University |
| title_short | Random sets in econometrics |
| title_sort | random sets in econometrics |
| topic | Econometrics Random sets Ökonometrie (DE-588)4132280-0 gnd Zufällige Menge (DE-588)4333329-1 gnd |
| topic_facet | Econometrics Random sets Ökonometrie Zufällige Menge |
| url | https://doi.org/10.1017/9781316392973 |
| work_keys_str_mv | AT molchanovilyas randomsetsineconometrics AT molinarifrancesca randomsetsineconometrics |