Matrix analysis of identifiability of some finite markov models
dc.contributor.author | Merryman, Coleman T. | en_US |
dc.contributor.author | Greeno, James G. | en_US |
dc.contributor.author | Millward, Richard B. | en_US |
dc.date.accessioned | 2006-09-11T16:24:05Z | |
dc.date.available | 2006-09-11T16:24:05Z | |
dc.date.issued | 1971-12 | en_US |
dc.identifier.citation | Greeno, James G.; Millward, Richard B.; Merryman, Coleman T.; (1971). "Matrix analysis of identifiability of some finite markov models." Psychometrika 36(4): 389-408. <http://hdl.handle.net/2027.42/45730> | en_US |
dc.identifier.issn | 1860-0980 | en_US |
dc.identifier.issn | 0033-3123 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45730 | |
dc.description.abstract | Methods developed by Bernbach [1966] and Millward [1969] permit increased generality in analyses of identifiability. Matrix equations are presented that solve part of the identifiability problem for a class of Markov models. Results of several earlier analyses are shown to involve special cases of the equations developed here. And it is shown that a general four-state chain has the same parameter space as an all-or-none model if and only if its representation with an observable absorbing state is lumpable into a Markov chain with three states. | en_US |
dc.format.extent | 1017113 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; Psychometric Society | en_US |
dc.subject.other | Assessment, Testing and Evaluation | en_US |
dc.subject.other | Psychology | en_US |
dc.subject.other | Psychometrics | en_US |
dc.subject.other | Statistical Theory and Methods | en_US |
dc.subject.other | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | en_US |
dc.title | Matrix analysis of identifiability of some finite markov models | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | The University of Michigan, USA | en_US |
dc.contributor.affiliationother | Brown University, USA | en_US |
dc.contributor.affiliationother | Indiana University, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45730/1/11336_2005_Article_BF02291365.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF02291365 | en_US |
dc.identifier.source | Psychometrika | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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