Show simple item record

dc.contributor.authorTeunissen, Peter
dc.date.accessioned2017-01-30T13:00:25Z
dc.date.available2017-01-30T13:00:25Z
dc.date.created2012-06-11T02:32:56Z
dc.date.issued2006
dc.identifier.citationTeunissen, P.J.G. 2006. Least-squares collocation with integer parameters. Artificial Satellites. 41 (2): pp. 59-66.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/27649
dc.identifier.doi10.2478/v10018-007-0006-4
dc.description.abstract

The prediction of spatially and/or temporal varying variates based on observations of these variates at some locations in space and/or instances in time, is an important topic in the various spatial and Earth sciences disciplines. This topic has been extensively studied, albeit under different names. In Geodesy it is generally referred to as least-squares collocation. The underlying model used is often of the trend-signal-noise type. This model is quite general and it encompasses many of the conceivable measurements. However, the methods of prediction based on these models have only been developed for the case the trend parameters are real-valued. In the present contribution we generalize the theory of least-squares collocation by permitting some or all of the trend parameters to be integer valued. We derive the solution of integer-based least-squares collocation and show how it compares to the solution of standard least-squares collocation.

dc.publisherVersita
dc.subjectInteger Estimation
dc.subjectLeast-Squares Collocation
dc.subjectInteger-Based Least-Squares Collocation
dc.subjectLeast-Squares Prediction
dc.titleLeast-squares collocation with integer parameters
dc.typeJournal Article
dcterms.source.volume41
dcterms.source.number2
dcterms.source.startPage59
dcterms.source.endPage66
dcterms.source.issn0208841X
dcterms.source.titleArtificial Satellites
curtin.departmentDelft University of Technology
curtin.accessStatusOpen access


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record