Parameter estimation in chaotic time series

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.

Bibliographic Details
Main Author: Hung, Elmer S
Other Authors: Gerald Jay Sussman.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/32609
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author Hung, Elmer S
author2 Gerald Jay Sussman.
author_facet Gerald Jay Sussman.
Hung, Elmer S
author_sort Hung, Elmer S
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description Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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spelling mit-1721.1/326092019-04-11T02:02:04Z Parameter estimation in chaotic time series Hung, Elmer S Gerald Jay Sussman. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994. Includes bibliographical references (p. 212-216). by Elmer S. Hung. M.S. 2006-05-15T20:15:30Z 2006-05-15T20:15:30Z 1994 1994 Thesis http://hdl.handle.net/1721.1/32609 31311676 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 216 p. 10508546 bytes 10522022 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science
Hung, Elmer S
Parameter estimation in chaotic time series
title Parameter estimation in chaotic time series
title_full Parameter estimation in chaotic time series
title_fullStr Parameter estimation in chaotic time series
title_full_unstemmed Parameter estimation in chaotic time series
title_short Parameter estimation in chaotic time series
title_sort parameter estimation in chaotic time series
topic Electrical Engineering and Computer Science
url http://hdl.handle.net/1721.1/32609
work_keys_str_mv AT hungelmers parameterestimationinchaotictimeseries