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The modified best quadratic unbiased non-negative estimator (MBQUNE) of variance components
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för data-, elektro- och lantmäteriteknik. Royal Institute of Technology, Division of Geodesy, Stockholm, Sweden .ORCID-id: 0000-0003-0067-8631
Royal Institute of Technology, Division of Geodesy, Stockholm, Sweden .
2008 (engelsk)Inngår i: Studia Geophysica et Geodaetica, ISSN 0039-3169, E-ISSN 1573-1626, Vol. 52, nr 3, s. 305-320Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Estimated variance components may come out as negative numbers without physical meaning. One way out of this problem is to use non-negative methods. Different approaches have been presented for the solution. Sjöberg presented a method of Best Quadratic Unbiased Non-Negative Estimator (BQUNE) in the Gauss-Helmert model. This estimator does not exist in the general case. Here we present the Modified BQUNE (MBQUNE) obtained by a simple transformation from the misclosures used in the BQUE to residuals. In the Gauss-Markov adjustment model the BQUNE and MBQUNE are identical, and they differ in condition and Gauss-Helmert models only by a simple transformation. If the observations are composed of independent/disjunctive groups the MBQUNE exists in any adjustment model and it carries all the properties of the BQUNE (when it exists). The presented variance component models are tested numerically in some simple examples. It is shown that the MBQUNE works well for disjunctive groups of observations.

sted, utgiver, år, opplag, sider
Springer, 2008. Vol. 52, nr 3, s. 305-320
Emneord [en]
Variance components, non-negative, unbiased, best estimator
HSV kategori
Forskningsprogram
TEKNIK
Identifikatorer
URN: urn:nbn:se:hv:diva-7899OAI: oai:DiVA.org:hv-7899DiVA, id: diva2:845875
Tilgjengelig fra: 2015-08-13 Laget: 2015-08-13 Sist oppdatert: 2017-12-04bibliografisk kontrollert

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