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Analyzing sequences of categorical data with applications.

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Dissertations & Theses @ University of Pennsylvania
Format:
Author/Creator:
Contributor:
Language:
English
Subjects (All):
Local Subjects:
Physical Description:
272 pages
Contained In:
Dissertation Abstracts International 57-11B.
System Details:
  • Mode of access: World Wide Web.
  • text file
Summary:
This thesis attempts to develop the methodologies for analyzing sequences of categorical data. First the definition of sequence categorical data is defined. Then some distances scores to measure the dissimilarity between two sequences are constructed and their properties are discussed with some simulation results. These methodologies are then applied to three applications in various fields.
Notes:
  • Thesis (Ph.D. in Statistics) -- University of Pennsylvania, 1996.
  • Source: Dissertation Abstracts International, Volume: 57-11, Section: B, page: 7032.
Local Notes:
School code: 0175.
ISBN:
9780591205916
Access Restriction:
Restricted for use by site license.

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