Show simple item record

Isotonic smoothing splines under sequential designs

dc.contributor.authorTantiyaswasdikul, Chimen_US
dc.contributor.authorWoodroofe, Michael B.en_US
dc.date.accessioned2006-04-10T18:26:03Z
dc.date.available2006-04-10T18:26:03Z
dc.date.issued1994-01en_US
dc.identifier.citationTantiyaswasdikul, Chim, Woodroofe, Michael B. (1994/01)."Isotonic smoothing splines under sequential designs." Journal of Statistical Planning and Inference 38(1): 75-87. <http://hdl.handle.net/2027.42/31875>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V0M-45F5G52-31/2/45981b0761b20386f9e778f2b3ae2f21en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/31875
dc.description.abstractIsotonic smoothing splines are introduced as a natural extension of ordinary isotonic estimates in the estimation of a regression function [mu](x)=E{Y|X=x}. A constructive characterization for the isotonic smoothing splines is given. Conditions are given for consistency under sequential designs, where the observation points are random and the experimenter after observing Xk may choose to observe or to skip observing Yk.en_US
dc.format.extent530350 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleIsotonic smoothing splines under sequential designsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationotherDepartment of Information Planning and Operations, Bank of Thailand, Bangkok, Thailanden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/31875/1/0000825.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0378-3758(92)00151-Sen_US
dc.identifier.sourceJournal of Statistical Planning and Inferenceen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

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.