Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating | Volume I: The Development of the Statistical Tools

A. T. Fomenko

ISBN 10: 9401714126 / ISBN 13: 9789401714129

Published by Springer, 2014

About this Item

Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating | Volume I: The Development of the Statistical Tools | A. T. Fomenko | Taschenbuch | xxii | Englisch | 2014 | Springer | EAN 9789401714129 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Bibliographic Details

• Title: Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating | Volume I: The Development of the Statistical Tools
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 9401714126
• ISBN 13: 9789401714129
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 14D millimeters 235 millimeters width by 155 millimeters height by 14 millimeters depth
• Weight: 371 grams
• Seller catalogs:
  • Bücher

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Synopsis

Today the methods of applied statistics have penetrated very different fields of knowledge, including the investigation oftexts ofvarious 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 ofthe 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 prob lern, which is given considerable attention in mathematical statistics and the theory of stochastic processes. As applied to the study of narrative texts, the problern of recognizing depen­ dent and independent texts ( e . g. , chronicles) Ieads to the problern offinding texts having a common source, i. e. , the sameoriginal (such texts are naturally called dependent), or, on the contrary, having different sources (such texts are natu­ rally 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.