View Item 

Show simple item record

Likelihood functions for stochastic signals in white noise
dc.contributor.authorDuncan, Tyrone E.en_US
dc.date.accessioned2006-04-17T15:10:02Z
dc.date.available2006-04-17T15:10:02Z
dc.date.issued1970-06en_US
dc.identifier.citationDuncan, Tyrone E. (1970/06)."Likelihood functions for stochastic signals in white noise." Information and Control 16(4): 303-310. <http://hdl.handle.net/2027.42/32747>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B7MFM-4DX40PW-J/2/3a459f921f70637a5babe9f8b0a49eeben_US
dc.identifier.urihttps://hdl.handle.net/2027.42/32747
dc.description.abstractFor a general stochastic signal in white noise absolute continuity is proved and the RadonNikodym derivative is given. These results were stated in a previous paper (Duncan 1968). Independent of the absolute continuity result, a modification is proved for the hypothesis with signal present.en_US
dc.format.extent293475 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleLikelihood functions for stochastic signals in white noiseen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelScience (General)en_US
dc.subject.hlbsecondlevelInformation and Library Scienceen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumComputer, Information and Control Engineering, The University of Michigan, Ann Arbor, Michigan 48104, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/32747/1/0000116.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/S0019-9958(70)90150-6en_US
dc.identifier.sourceInformation and Controlen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
0000116.pdf
Size:
286.5KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.