Locally best quadratic estimators
Mathematica Slovaca (1985)
- Volume: 35, Issue: 4, page 393-408
- ISSN: 0139-9918
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topKubáček, Lubomír. "Locally best quadratic estimators." Mathematica Slovaca 35.4 (1985): 393-408. <http://eudml.org/doc/32319>.
@article{Kubáček1985,
author = {Kubáček, Lubomír},
journal = {Mathematica Slovaca},
keywords = {locally best quadratic estimators; tensor product; vec operator; higher order central moments; locally unbiased minimum variance; estimator; locally UMVUE; Explicit expressions},
language = {eng},
number = {4},
pages = {393-408},
publisher = {Mathematical Institute of the Slovak Academy of Sciences},
title = {Locally best quadratic estimators},
url = {http://eudml.org/doc/32319},
volume = {35},
year = {1985},
}
TY - JOUR
AU - Kubáček, Lubomír
TI - Locally best quadratic estimators
JO - Mathematica Slovaca
PY - 1985
PB - Mathematical Institute of the Slovak Academy of Sciences
VL - 35
IS - 4
SP - 393
EP - 408
LA - eng
KW - locally best quadratic estimators; tensor product; vec operator; higher order central moments; locally unbiased minimum variance; estimator; locally UMVUE; Explicit expressions
UR - http://eudml.org/doc/32319
ER -
References
top- KLEFFE J., Simultaneous estimation of expectation and covariance matrix in linear models, Math. Oper. Statist. 9, 1978, 443-478. (1978) Zbl0415.62026MR0522072
- KUBÁČEK L., Základy teórie odhadu, Veda, Bratislava 1983. (Foundation of Estimation Theory). (1983)
- RAO C. R., KLEFFE J., Estimation of variance components, In: Krisnaiah, P. R., ed. Handbook of Statistics, Vol. I. 1-40, Noгth Holland, N. Yoгk 1980. (1980) Zbl0476.62058
- RAO C. R., MITRA K. S., Geneгalized Inveгse of Matrices and Application, J. Wiley, N. Yoгk 1971. (1971)
Citations in EuDML Documents
top- Lubomír Kubáček, Multistage regression model
- Lubomír Kubáček, Elimination of nuisance parameters in a regression model
- Lubomír Kubáček, Ludmila Kubáčková, Kalman filter with variance components
- Ivan Žežula, Asymptotic properties of the growth curve model with covariance components
- Marta Bognárová, Lubomír Kubáček, Júlia Volaufová, Comparison of MINQUE and LMVQUIE by simulation
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