Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating: Volume I: The Development of the Statistical Tools
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1994
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-94-017-1410-5 |
| Beschreibung: | Today the methods of applied statistics have penetrated very different fields of knowledge, including the investigation of texts of various origins. These "texts" may be considered as signal sequences of different kinds, long genetic codes, graphic representations (which may be coded and represented by a "text"), as well as actual narrative texts (for example, historical chronicles, originals, documents, etc. ). One of the most important problems arising here is to recognize dependent text, i. e. , texts which have a measure of "resemblance", arising from some kind of "common origin". For instance, in pattern-recognition problems, it is essential to identify from a large set of "patterns" a pattern that is "closest" to a given one; in studying long signal sequences, it is important to recognize "homogeneous subsequences" and the places of their junction. This includes, in particular, the well-known change-point problem, which is given considerable attention in mathematical statistics and the theory of stochastic processes. As applied to the study of narrative texts, the problem of recognizing dependent and independent texts ( e . g. , chronicles) leads to the problem of finding texts having a common source, i. e. , the same original (such texts are naturally called dependent), or, on the contrary, having different sources (such texts are naturally called independent). Clearly, such problems are exceedingly complicated, and therefore the appearance of new empirico-statistical recognition methods which, along with the classical approaches, may prove useful in concrete studies (e. g. , source determination) is welcome |
| Umfang: | 1 Online-Ressource (XXII, 212 p) |
| ISBN: | 9789401714105 9789401714129 |
| DOI: | 10.1007/978-94-017-1410-5 |
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| 500 | |a Today the methods of applied statistics have penetrated very different fields of knowledge, including the investigation of texts of various origins. These "texts" may be considered as signal sequences of different kinds, long genetic codes, graphic representations (which may be coded and represented by a "text"), as well as actual narrative texts (for example, historical chronicles, originals, documents, etc. ). One of the most important problems arising here is to recognize dependent text, i. e. , texts which have a measure of "resemblance", arising from some kind of "common origin". For instance, in pattern-recognition problems, it is essential to identify from a large set of "patterns" a pattern that is "closest" to a given one; in studying long signal sequences, it is important to recognize "homogeneous subsequences" and the places of their junction. This includes, in particular, the well-known change-point problem, which is given considerable attention in mathematical statistics and the theory of stochastic processes. As applied to the study of narrative texts, the problem of recognizing dependent and independent texts ( e . g. , chronicles) leads to the problem of finding texts having a common source, i. e. , the same original (such texts are naturally called dependent), or, on the contrary, having different sources (such texts are naturally called independent). Clearly, such problems are exceedingly complicated, and therefore the appearance of new empirico-statistical recognition methods which, along with the classical approaches, may prove useful in concrete studies (e. g. , source determination) is welcome | ||
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-94-017-1410-5 |
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| id | DE-604.BV042424248 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:10:50Z |
| institution | BVB |
| isbn | 9789401714105 9789401714129 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027859665 |
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| physical | 1 Online-Ressource (XXII, 212 p) |
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| publishDate | 1994 |
| publishDateSearch | 1994 |
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| publisher | Springer Netherlands |
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| spellingShingle | Fomenko, Anatolij Timofeevič 1945- Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating Volume I: The Development of the Statistical Tools Statistics History Archaeology Statistics, general Astronomy, Observations and Techniques Archäologie Geschichte Statistik |
| title | Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating Volume I: The Development of the Statistical Tools |
| title_auth | Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating Volume I: The Development of the Statistical Tools |
| title_exact_search | Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating Volume I: The Development of the Statistical Tools |
| title_full | Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating Volume I: The Development of the Statistical Tools by A. T. Fomenko |
| title_fullStr | Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating Volume I: The Development of the Statistical Tools by A. T. Fomenko |
| title_full_unstemmed | Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating Volume I: The Development of the Statistical Tools by A. T. Fomenko |
| title_short | Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating |
| title_sort | empirico statistical analysis of narrative material and its applications to historical dating volume i the development of the statistical tools |
| title_sub | Volume I: The Development of the Statistical Tools |
| topic | Statistics History Archaeology Statistics, general Astronomy, Observations and Techniques Archäologie Geschichte Statistik |
| topic_facet | Statistics History Archaeology Statistics, general Astronomy, Observations and Techniques Archäologie Geschichte Statistik |
| url | https://doi.org/10.1007/978-94-017-1410-5 |
| work_keys_str_mv | AT fomenkoanatolijtimofeevic empiricostatisticalanalysisofnarrativematerialanditsapplicationstohistoricaldatingvolumeithedevelopmentofthestatisticaltools |