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Title: Inversion of $3\times 3$ partitioned matrices in investigation of the twoepoch linear model with the nuisance parameters (English)
Author: Hron, Karel
Language: English
Journal: Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
ISSN: 0231-9721
Volume: 45
Issue: 1
Year: 2006
Pages: 67-80
Summary lang: English
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Category: math
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Summary: The estimation procedures in the multiepoch (and specially twoepoch) linear regression models with the nuisance parameters that were described in [2], Chapter 9, frequently need finding the inverse of a $3 \times 3$ partitioned matrix. We use different kinds of such inversion in dependence on simplicity of the result, similarly as in well known Rohde formula for $2\times 2$ partitioned matrix. We will show some of these formulas, also methods how to get the other formulas, and then we applicate the formulas in estimation of the mean value parameters in the twoepoch linear regression model with the nuisance parameters. (English)
Keyword: inversion of partitioned matrices
Keyword: Rohde formula
Keyword: twoepoch regression model
Keyword: useful and nuisance parameters
Keyword: best linear estimators of the mean value parameter
MSC: 15A09
MSC: 62H12
MSC: 62J05
idZBL: Zbl 1117.62057
idMR: MR2321299
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Date available: 2009-08-21T07:05:56Z
Last updated: 2012-05-04
Stable URL: http://hdl.handle.net/10338.dmlcz/133448
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Reference: [1] Harville D. A.: Matrix Algebra From a Statistican’s Perspective. : Springer-Verlag, New York.1999. MR 1467237
Reference: [2] Kubáček L., Kubáčková L., Volaufová J.: Statistical Models with Linear Structures. : Veda, Publishing House of the Slovak Academy of Sciences, Bratislava.1995.
Reference: [3] Kunderová P.: Locally best and uniformly best estimators in linear model with nuisance parameters.Tatra Mt. Math. Publ. 3 (2001), 27–36. Zbl 1001.62021, MR 1889032
Reference: [4] Nordström K., Fellman J.: Characterizations and dispersion-matrix robustness of efficiently estimable parametric functionals in linear models with nuisance parameters.Linear Algebra Appl. 127 (1990), 341–361. Zbl 0709.62063, MR 1048807
Reference: [5] Štulajter F.: Predictions in Time Series Using Regression Models. : Springer-Verlag, New York.2002. MR 1901566
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