Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Simo Puntanen"'
Publikováno v:
AKCE International Journal of Graphs and Combinatorics, Vol 20, Iss 2, Pp 106-107 (2023)
Externí odkaz:
https://doaj.org/article/dbea89697e724ba2ba13e8d8a256e14d
In this article we consider the partitioned linear model M12={y, X1β1+X2β2, V} and the corresponding small model M1={y, X1β1, V}. We focus on comparing the best linear unbiased estimators, BLUEs, of X1β1 under M12 and M1. In other words, we are i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0f1c596e862a295183ebd6d9163b377
https://trepo.tuni.fi/handle/10024/139122
https://trepo.tuni.fi/handle/10024/139122
Publikováno v:
Applications of Mathematics. 65:547-556
In this article we present a short history of the MatTriad Conferences, a series of international conferences on matrix analysis and its applications. The name MatTriad originally comes from the phrase Three Days Full of Matrices. The first MatTriad
Autor:
Simo Puntanen, Jürgen Groß
Publikováno v:
Discussiones Mathematicae Probability and Statistics. 25:39
Autor:
Simo Puntanen, Augustyn Markiewicz
Publikováno v:
Communications in Statistics - Theory and Methods. 50:4977-4996
We consider the general linear model y=Xβ+e supplemented with the new (future) unobservable random vector y*, coming from y*=X*β+e*, where the expectation of y* is X*β and the covariance matrix of ...
In this article we consider the partitioned fixed linear model F : y = X1β1 + X2β2 + ε" and the corresponding mixed model M : y =X1β1+X2u+ ε, where ε is a random error vector and u is a random effect vector. In 2006, Isotalo, M¨ols, and Puntan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e63985929e67365ac93a36f17e3e374b
https://trepo.tuni.fi/handle/10024/136526
https://trepo.tuni.fi/handle/10024/136526
Publikováno v:
Contributions to Statistics ISBN: 9783030754938
We consider the general linear model \(\mathbf{y} = \mathbf{X} {\pmb {\beta }}+ {\pmb {\varepsilon }}\), denoted as \( \mathscr {M} = \{ \mathbf{y}, \mathbf{X}{\pmb {\beta }}, \mathbf{V} \}\), supplemented with the new unobservable random vector \(\m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d431d24799d9959beec1bb47dff986d
https://doi.org/10.1007/978-3-030-75494-5_11
https://doi.org/10.1007/978-3-030-75494-5_11
Publikováno v:
Methodology and Applications of Statistics ISBN: 9783030836696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7fc42eeabdd8aa341b0a0f45162f987
https://doi.org/10.1007/978-3-030-83670-2_3
https://doi.org/10.1007/978-3-030-83670-2_3
Autor:
Ravindra B. Bapat, Manjunatha Prasad Karantha, Stephen J. Kirkland, Samir Kumar Neogy, Sukanta Pati, Simo Puntanen
This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in the book feature new findings due to applications of matrix and graph methods. The book also discusses rediscoveries of the subject
Publikováno v:
Recent Developments in Multivariate and Random Matrix Analysis ISBN: 9783030567729
Explicit expressions for the estimated mean \(\tilde {\mathbf {y}}_k = X\tilde {\boldsymbol {\beta }}_k = H_k\mathbf {y}\) and effective degrees of freedomνk = tr(Hk) by penalized least squares, with penalty k||Dβ||2, can be found readily when X′
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4fbffbd5f7a5688a0c4f6362e60acb8
https://trepo.tuni.fi/handle/10024/134244
https://trepo.tuni.fi/handle/10024/134244