Distribution theory of runs and patterns and its applications: a finite Markov chain imbedding approach
This book provides 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 imb...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2003
|
| Schlagworte: | |
| Online-Zugang: | FHN01 URL des Erstveroeffentlichers |
| Zusammenfassung: | This book provides 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: | x, 162 p. ill |
| ISBN: | 9789812779205 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV044635285 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 171120s2003 |||| o||u| ||||||eng d | ||
| 020 | |a 9789812779205 |c electronic bk. |9 978-981-277-920-5 | ||
| 024 | 7 | |a 10.1142/4669 |2 doi | |
| 035 | |a (ZDB-124-WOP)00003457 | ||
| 035 | |a (OCoLC)1012685124 | ||
| 035 | |a (DE-599)BVBBV044635285 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-92 | ||
| 082 | 0 | |a 519.233 |2 22 | |
| 084 | |a SK 820 |0 (DE-625)143258: |2 rvk | ||
| 100 | 1 | |a Fu, James C. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Distribution theory of runs and patterns and its applications |b a finite Markov chain imbedding approach |c James C. Fu, W.Y. Wendy Lou |
| 264 | 1 | |a Singapore |b World Scientific Pub. Co. |c c2003 | |
| 300 | |a x, 162 p. |b ill | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | |a This book provides 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 | ||
| 650 | 4 | |a Markov processes | |
| 650 | 4 | |a Random variables | |
| 650 | 4 | |a Distribution (Probability theory) | |
| 650 | 0 | 7 | |a Endliche Markov-Kette |0 (DE-588)4152154-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Endliche Markov-Kette |0 (DE-588)4152154-7 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Lou, W. Y. Wendy |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9789810245870 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9810245874 |
| 856 | 4 | 0 | |u http://www.worldscientific.com/worldscibooks/10.1142/4669#t=toc |x Verlag |z URL des Erstveroeffentlichers |3 Volltext |
| 912 | |a ZDB-124-WOP | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030033257 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://www.worldscientific.com/worldscibooks/10.1142/4669#t=toc |l FHN01 |p ZDB-124-WOP |q FHN_PDA_WOP |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804178048121044992 |
|---|---|
| any_adam_object | |
| author | Fu, James C. |
| author_facet | Fu, James C. |
| author_role | aut |
| author_sort | Fu, James C. |
| author_variant | j c f jc jcf |
| building | Verbundindex |
| bvnumber | BV044635285 |
| classification_rvk | SK 820 |
| collection | ZDB-124-WOP |
| ctrlnum | (ZDB-124-WOP)00003457 (OCoLC)1012685124 (DE-599)BVBBV044635285 |
| dewey-full | 519.233 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.233 |
| dewey-search | 519.233 |
| dewey-sort | 3519.233 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02627nmm a2200469zc 4500</leader><controlfield tag="001">BV044635285</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">171120s2003 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789812779205</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-981-277-920-5</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1142/4669</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-124-WOP)00003457</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1012685124</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044635285</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-92</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.233</subfield><subfield code="2">22</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 820</subfield><subfield code="0">(DE-625)143258:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Fu, James C.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Distribution theory of runs and patterns and its applications</subfield><subfield code="b">a finite Markov chain imbedding approach</subfield><subfield code="c">James C. Fu, W.Y. Wendy Lou</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">World Scientific Pub. Co.</subfield><subfield code="c">c2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">x, 162 p.</subfield><subfield code="b">ill</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book provides 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</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Markov processes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Random variables</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Distribution (Probability theory)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Endliche Markov-Kette</subfield><subfield code="0">(DE-588)4152154-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Endliche Markov-Kette</subfield><subfield code="0">(DE-588)4152154-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lou, W. Y. Wendy</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9789810245870</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9810245874</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.worldscientific.com/worldscibooks/10.1142/4669#t=toc</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveroeffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-124-WOP</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030033257</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.worldscientific.com/worldscibooks/10.1142/4669#t=toc</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-124-WOP</subfield><subfield code="q">FHN_PDA_WOP</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV044635285 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:46Z |
| institution | BVB |
| isbn | 9789812779205 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030033257 |
| oclc_num | 1012685124 |
| open_access_boolean | |
| owner | DE-92 |
| owner_facet | DE-92 |
| physical | x, 162 p. ill |
| psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | World Scientific Pub. Co. |
| record_format | marc |
| 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 Singapore World Scientific Pub. Co. c2003 x, 162 p. ill txt rdacontent c rdamedia cr rdacarrier This book provides 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 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 Erscheint auch als Druck-Ausgabe 9789810245870 Erscheint auch als Druck-Ausgabe 9810245874 http://www.worldscientific.com/worldscibooks/10.1142/4669#t=toc Verlag URL des Erstveroeffentlichers 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 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 | Markov processes Random variables Distribution (Probability theory) Endliche Markov-Kette (DE-588)4152154-7 gnd |
| topic_facet | Markov processes Random variables Distribution (Probability theory) Endliche Markov-Kette |
| url | http://www.worldscientific.com/worldscibooks/10.1142/4669#t=toc |
| work_keys_str_mv | AT fujamesc distributiontheoryofrunsandpatternsanditsapplicationsafinitemarkovchainimbeddingapproach AT louwywendy distributiontheoryofrunsandpatternsanditsapplicationsafinitemarkovchainimbeddingapproach |