EconPapers    
Economics at your fingertips  
 

New Statistical Methods for Dating

A. T. Fomenko
Additional contact information
A. T. Fomenko: Moscow University, Department of Geometry and Topology, Faculty of Mathematics

Chapter Chapter 2 in Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating, 1994, pp 39-87 from Springer

Abstract: Abstract In the present paper, we list the results of a series of statistical investigations carried out by the author, and which led to the discovery (for narrative texts) of new statistical invariants such as the laws of information density conservation.

Keywords: Local Maximum; Volume Function; Information Density; Dependent Pair; Textual Fragment (search for similar items in EconPapers)
Date: 1994
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-1410-5_2

Ordering information: This item can be ordered from
http://www.springer.com/9789401714105

DOI: 10.1007/978-94-017-1410-5_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-22
Handle: RePEc:spr:sprchp:978-94-017-1410-5_2