Distribution theory of runs and patterns and its applications: a finite Markov chain imbedding approach
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
River Edge, N.J.
World Scientific
©2003
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| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references (pages 153-160) and index A rigorous, comprehensive introduction to the finite Markov chain imbedding technique for studying the distributions of runs and patterns from a unified and intuitive viewpoint, away from the lines of traditional combinatorics. The central theme of this approach is to properly imbed the random variables of interest into the framework of a finite Markov chain, and the resulting representations of the underlying distributions are compact and very amenable to further study of associated properties. The concept of finite Markov chain imbedding is systematically developed, and its utility is illustrated through practical applications to a variety of fields, including the reliability of engineering systems, hypothesis testing, quality control, and continuity measurement in the health care sector |
| Beschreibung: | 1 Online-Ressource (x, 162 pages) |
| ISBN: | 1281937983 9781281937988 9789810245870 9789812779205 9810245874 9812779205 |
Internformat
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| 500 | |a Includes bibliographical references (pages 153-160) and index | ||
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Datensatz im Suchindex
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| author | Fu, James C. |
| author_facet | Fu, James C. |
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| author_sort | Fu, James C. |
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| bvnumber | BV043068983 |
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| ctrlnum | (OCoLC)261343000 (DE-599)BVBBV043068983 |
| dewey-full | 519.2/33 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2/33 |
| dewey-search | 519.2/33 |
| dewey-sort | 3519.2 233 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV043068983 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:16:29Z |
| institution | BVB |
| isbn | 1281937983 9781281937988 9789810245870 9789812779205 9810245874 9812779205 |
| language | English |
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| spelling | Fu, James C. Verfasser aut Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach James C. Fu, W.Y. Wendy Lou River Edge, N.J. World Scientific ©2003 1 Online-Ressource (x, 162 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 153-160) and index A rigorous, comprehensive introduction to the finite Markov chain imbedding technique for studying the distributions of runs and patterns from a unified and intuitive viewpoint, away from the lines of traditional combinatorics. The central theme of this approach is to properly imbed the random variables of interest into the framework of a finite Markov chain, and the resulting representations of the underlying distributions are compact and very amenable to further study of associated properties. The concept of finite Markov chain imbedding is systematically developed, and its utility is illustrated through practical applications to a variety of fields, including the reliability of engineering systems, hypothesis testing, quality control, and continuity measurement in the health care sector MATHEMATICS / Probability & Statistics / Stochastic Processes bisacsh Distribution (Probability theory) fast Markov processes fast Random variables fast Markov processes Random variables Distribution (Probability theory) Endliche Markov-Kette (DE-588)4152154-7 gnd rswk-swf Endliche Markov-Kette (DE-588)4152154-7 s 1\p DE-604 Lou, W. Y. Wendy Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=235662 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Fu, James C. Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach MATHEMATICS / Probability & Statistics / Stochastic Processes bisacsh Distribution (Probability theory) fast Markov processes fast Random variables fast Markov processes Random variables Distribution (Probability theory) Endliche Markov-Kette (DE-588)4152154-7 gnd |
| subject_GND | (DE-588)4152154-7 |
| title | Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach |
| title_auth | Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach |
| title_exact_search | Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach |
| title_full | Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach James C. Fu, W.Y. Wendy Lou |
| title_fullStr | Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach James C. Fu, W.Y. Wendy Lou |
| title_full_unstemmed | Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach James C. Fu, W.Y. Wendy Lou |
| title_short | Distribution theory of runs and patterns and its applications |
| title_sort | distribution theory of runs and patterns and its applications a finite markov chain imbedding approach |
| title_sub | a finite Markov chain imbedding approach |
| topic | MATHEMATICS / Probability & Statistics / Stochastic Processes bisacsh Distribution (Probability theory) fast Markov processes fast Random variables fast Markov processes Random variables Distribution (Probability theory) Endliche Markov-Kette (DE-588)4152154-7 gnd |
| topic_facet | MATHEMATICS / Probability & Statistics / Stochastic Processes Distribution (Probability theory) Markov processes Random variables Endliche Markov-Kette |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=235662 |
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