Properties of the matrix V + XTX' in linear statistical models
| cris.virtual.author-orcid | 0000-0001-5473-3419 | |
| cris.virtual.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtualsource.author-orcid | e9e0b41e-e4f0-4842-94d4-95738eaea207 | |
| cris.virtualsource.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtualsource.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| dc.abstract.en | It is well known, due originally to C.R. Rao in early 1970s, that the best linear unbiased estimator, BLUE, of X— in the linear model M = {y, X—, V} can be expressed in the form X (XÕW≠X)≠XÕW≠y,whereW is a specific matrix of the form W = V+XTXÕ withTsatisfying the column space condition C(W)=C(X : V). Wedenote this class of matrices as W. Choice of T as an identity matrix gives an obvious member W = V + XXÕ œ W. The matrices belonging to the class W have several interesting mathematical properties. In particular, the use of matrix W œ W appears to be surprisingly handy and helpful tool when dealing with the linear statistical models. Our aim is to review and collect together some essential features of W and its use in linear statistical models. While doing this, we go through some related basic properties of the best linear unbiased estimation. | |
| dc.affiliation | Wydział Rolnictwa, Ogrodnictwa i Bioinżynierii | |
| dc.affiliation.institute | Katedra Metod Matematycznych i Statystycznych | |
| dc.contributor.author | Haslett, Stephen J. | |
| dc.contributor.author | Markiewicz, Augustyn | |
| dc.contributor.author | Puntanen, Simo | |
| dc.date.access | 2026-01-12 | |
| dc.date.accessioned | 2026-01-12T12:17:42Z | |
| dc.date.available | 2026-01-12T12:17:42Z | |
| dc.date.copyright | 2022-07 | |
| dc.date.issued | 2022 | |
| dc.description.accesstime | at_publication | |
| dc.description.bibliography | bibliogr. | |
| dc.description.finance | publication_nocost | |
| dc.description.financecost | 0,00 | |
| dc.description.number | 1 | |
| dc.description.points | 5 | |
| dc.description.version | final_published | |
| dc.description.volume | 38 | |
| dc.identifier.issn | 0379-3419 | |
| dc.identifier.uri | https://sciencerep.up.poznan.pl/handle/item/6726 | |
| dc.identifier.weblink | https://trepo.tuni.fi/handle/10024/206036 | |
| dc.language | en | |
| dc.relation.ispartof | Gujarat Journal of Statistics and Data Science | |
| dc.relation.pages | 107-131 | |
| dc.rights | CC-BY | |
| dc.sciencecloud | nosend | |
| dc.share.type | OTHER | |
| dc.subject.en | best linear unbiased estimator | |
| dc.subject.en | BLUE | |
| dc.subject.en | column space | |
| dc.subject.en | generalized inverse | |
| dc.subject.en | löwner ordering | |
| dc.subject.en | linear sufficiency | |
| dc.subject.en | partitioned linear model | |
| dc.title | Properties of the matrix V + XTX' in linear statistical models | |
| dc.type | JournalArticle | |
| dspace.entity.type | Publication |