k -State Markov Chains

EXAMINATION of random sequences from Markov chains enables us to judge the relative efficiency of various methods which have been developed for testing different statistical hypotheses. A good deal of work, therefore, has been done recently by various authors 1–7 on the distribution of the number of...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Nature (London) 1962-12, Vol.196 (4857), p.912-912
1. Verfasser:	KRISHNA IYER, P. V
Format:	Artikel
Sprache:	eng
Schlagworte:	Humanities and Social Sciences letter multidisciplinary Science Science (multidisciplinary)
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page	912
container_issue	4857
container_start_page	912
container_title	Nature (London)
container_volume	196
creator	KRISHNA IYER, P. V
description	EXAMINATION of random sequences from Markov chains enables us to judge the relative efficiency of various methods which have been developed for testing different statistical hypotheses. A good deal of work, therefore, has been done recently by various authors 1–7 on the distribution of the number of transitions between adjoining observations of sequences from k -state Markov chains. The methods and results obtained in these investigations are rather unwieldy and cumbersome. The object of the present communication is to obtain the results for k -state chain from those of the two-state.
doi_str_mv	10.1038/196912a0
format	Article
fullrecord	<record><control><sourceid>nature_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1038_196912a0</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>196912a0</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1940-e3da9918a9a91712016dc9ec9dc85208eea2c36491964abf29312c33cb4070553</originalsourceid><addsrcrecordid>eNptz81LxDAQBfAgCtZV8ORR9qiH6EySppmjlPUDVjyo5zKbprq72krSFfzvrdTFi6eB4cfjPSGOES4QtLtEsoSKYUdkaAorjXXFrsgAlJPgtN0XBymtACDHwmTiZD2Vjz33YXrPcd19TstXXrbpUOw1_JbC0e-diOfr2VN5K-cPN3fl1Vx6JAMy6JqJ0DExYYEK0Naegqfau1yBC4GV19bQ0MrwolGkcXhovzBQQJ7riTgbc33sUoqhqT7i8p3jV4VQ_eyptnsGej7SNJD2JcRq1W1iO7T7z56OtuV-E8Nf6BZ8A4UzUNk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>k -State Markov Chains</title><source>Nature Journals Online</source><source>Alma/SFX Local Collection</source><creator>KRISHNA IYER, P. V</creator><creatorcontrib>KRISHNA IYER, P. V</creatorcontrib><description>EXAMINATION of random sequences from Markov chains enables us to judge the relative efficiency of various methods which have been developed for testing different statistical hypotheses. A good deal of work, therefore, has been done recently by various authors 1–7 on the distribution of the number of transitions between adjoining observations of sequences from k -state Markov chains. The methods and results obtained in these investigations are rather unwieldy and cumbersome. The object of the present communication is to obtain the results for k -state chain from those of the two-state.</description><identifier>ISSN: 0028-0836</identifier><identifier>EISSN: 1476-4687</identifier><identifier>DOI: 10.1038/196912a0</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Humanities and Social Sciences ; letter ; multidisciplinary ; Science ; Science (multidisciplinary)</subject><ispartof>Nature (London), 1962-12, Vol.196 (4857), p.912-912</ispartof><rights>Springer Nature Limited 1962</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1940-e3da9918a9a91712016dc9ec9dc85208eea2c36491964abf29312c33cb4070553</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2727,27924,27925</link.rule.ids></links><search><creatorcontrib>KRISHNA IYER, P. V</creatorcontrib><title>k -State Markov Chains</title><title>Nature (London)</title><addtitle>Nature</addtitle><description>EXAMINATION of random sequences from Markov chains enables us to judge the relative efficiency of various methods which have been developed for testing different statistical hypotheses. A good deal of work, therefore, has been done recently by various authors 1–7 on the distribution of the number of transitions between adjoining observations of sequences from k -state Markov chains. The methods and results obtained in these investigations are rather unwieldy and cumbersome. The object of the present communication is to obtain the results for k -state chain from those of the two-state.</description><subject>Humanities and Social Sciences</subject><subject>letter</subject><subject>multidisciplinary</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><issn>0028-0836</issn><issn>1476-4687</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1962</creationdate><recordtype>article</recordtype><recordid>eNptz81LxDAQBfAgCtZV8ORR9qiH6EySppmjlPUDVjyo5zKbprq72krSFfzvrdTFi6eB4cfjPSGOES4QtLtEsoSKYUdkaAorjXXFrsgAlJPgtN0XBymtACDHwmTiZD2Vjz33YXrPcd19TstXXrbpUOw1_JbC0e-diOfr2VN5K-cPN3fl1Vx6JAMy6JqJ0DExYYEK0Naegqfau1yBC4GV19bQ0MrwolGkcXhovzBQQJ7riTgbc33sUoqhqT7i8p3jV4VQ_eyptnsGej7SNJD2JcRq1W1iO7T7z56OtuV-E8Nf6BZ8A4UzUNk</recordid><startdate>19621201</startdate><enddate>19621201</enddate><creator>KRISHNA IYER, P. V</creator><general>Nature Publishing Group UK</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19621201</creationdate><title>k -State Markov Chains</title><author>KRISHNA IYER, P. V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1940-e3da9918a9a91712016dc9ec9dc85208eea2c36491964abf29312c33cb4070553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1962</creationdate><topic>Humanities and Social Sciences</topic><topic>letter</topic><topic>multidisciplinary</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KRISHNA IYER, P. V</creatorcontrib><collection>CrossRef</collection><jtitle>Nature (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KRISHNA IYER, P. V</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>k -State Markov Chains</atitle><jtitle>Nature (London)</jtitle><stitle>Nature</stitle><date>1962-12-01</date><risdate>1962</risdate><volume>196</volume><issue>4857</issue><spage>912</spage><epage>912</epage><pages>912-912</pages><issn>0028-0836</issn><eissn>1476-4687</eissn><abstract>EXAMINATION of random sequences from Markov chains enables us to judge the relative efficiency of various methods which have been developed for testing different statistical hypotheses. A good deal of work, therefore, has been done recently by various authors 1–7 on the distribution of the number of transitions between adjoining observations of sequences from k -state Markov chains. The methods and results obtained in these investigations are rather unwieldy and cumbersome. The object of the present communication is to obtain the results for k -state chain from those of the two-state.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><doi>10.1038/196912a0</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext	fulltext
identifier	ISSN: 0028-0836
ispartof	Nature (London), 1962-12, Vol.196 (4857), p.912-912
issn	0028-0836 1476-4687
language	eng
recordid	cdi_crossref_primary_10_1038_196912a0
source	Nature Journals Online; Alma/SFX Local Collection
subjects	Humanities and Social Sciences letter multidisciplinary Science Science (multidisciplinary)
title	k -State Markov Chains
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T09%3A51%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-nature_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=k%20-State%20Markov%20Chains&rft.jtitle=Nature%20(London)&rft.au=KRISHNA%20IYER,%20P.%20V&rft.date=1962-12-01&rft.volume=196&rft.issue=4857&rft.spage=912&rft.epage=912&rft.pages=912-912&rft.issn=0028-0836&rft.eissn=1476-4687&rft_id=info:doi/10.1038/196912a0&rft_dat=%3Cnature_cross%3E196912a0%3C/nature_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true