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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hung T. Nguyen | en_US |
| dc.date.accessioned | 2022-05-27T08:29:33Z | - |
| dc.date.available | 2022-05-27T08:29:33Z | - |
| dc.date.issued | 2022-01-01 | en_US |
| dc.identifier.issn | 18609503 | en_US |
| dc.identifier.issn | 1860949X | en_US |
| dc.identifier.other | 2-s2.0-85113411616 | en_US |
| dc.identifier.other | 10.1007/978-3-030-77094-5_1 | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85113411616&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/72783 | - |
| dc.description.abstract | This paper aims at pointing out a variety of statistical structural models in which parameters of interest are subsets rather than points in parameter spaces, especially in partially identified econometric models. For conducting inferences in such situations, we emphasize the need to use random set theory and elaborate upon statistics of random sets. | en_US |
| dc.subject | Computer Science | en_US |
| dc.title | On Random Sets for Inference in Statistics and Econometrics | en_US |
| dc.type | Book Series | en_US |
| article.title.sourcetitle | Studies in Computational Intelligence | en_US |
| article.volume | 983 | en_US |
| article.stream.affiliations | New Mexico State University | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| Appears in Collections: | CMUL: Journal Articles | |
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