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dc.contributor.authorThomas, Marlin Uluess
dc.contributor.authorBarr, Donald Roy
dc.date1973-12
dc.date.accessioned2013-02-27T23:38:23Z
dc.date.available2013-02-27T23:38:23Z
dc.date.issued1973-12
dc.identifier.urihttp://hdl.handle.net/10945/29522
dc.description.abstractUnder certain conditions the state space of a discrete parameter Markov Chain may be partitioned to form a smaller lumped chain that retains the Markov property. The problem of formulating lumpability hypotheses when the transition probability matrix P is not known and, hence, must be estimated is discussed. An approximate test of these hypotheses is described based on well known non-parametric methods. The procedure is illustrated by an example. (Author)en_US
dc.description.urihttp://archive.org/details/statisticalaspec00thom
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.lcshCOUPLED MODE THEORY.MICROWAVE CIRCUITS.en_US
dc.titleStatistical aspects of lumpability hypotheses for Markov chainsen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)


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