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ERIC Number: EJ680224
Record Type: Journal
Publication Date: 2004-Nov-1
Pages: 12
Abstractor: Author
Reference Count: 7
ISBN: N/A
ISSN: ISSN-0020-739X
Building Higher-Order Markov Chain Models with EXCEL
Ching, Wai-Ki; Fung, Eric S.; Ng, Michael K.
International Journal of Mathematical Education in Science and Technology, v35 n6 p921-932 Nov 2004
Categorical data sequences occur in many applications such as forecasting, data mining and bioinformatics. In this note, we present higher-order Markov chain models for modelling categorical data sequences with an efficient algorithm for solving the model parameters. The algorithm can be implemented easily in a Microsoft EXCEL worksheet. We give a detailed description for the implementation which is accessible and useful to anyone who is interested in the applications of higher-order Markov chain models and has some knowledge of EXCEL.
Customer Services for Taylor & Francis Group Journals, 325 Chestnut Street, Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420 (Toll Free); Fax: 215-625-8914.
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: N/A