Literaturnachweis - Detailanzeige
Autor/inn/en | Ching, Wai-Ki; Fung, Eric S.; Ng, Michael K. |
---|---|
Titel | Building Higher-Order Markov Chain Models with EXCEL |
Quelle | In: International Journal of Mathematical Education in Science and Technology, 35 (2004) 6, S.921-932 (12 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0020-739X |
Schlagwörter | Mathematics; Markov Processes |
Abstract | 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. (Author). |
Anmerkungen | 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. |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |