One of the calibration problems
Lubomír Kubáček, Ludmila Kubáčková (1997)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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Displaying similar documents to “On a distance between estimable functions.”
One of the calibration problems
The extremal ranks of subject to a pair of matrix equations
Yongge Tian, Yonghui Liu (2006)
Rendiconti del Seminario Matematico della Università di Padova
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Equivalent algorithms for estimation in linear model with conditions
Lubomír Kubáček (1991)
Mathematica Slovaca
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On Nonadaptive Search Problem
Kolev, Emil (2003)
Serdica Mathematical Journal
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2000 Mathematics Subject Classification: 91A46, 91A35. We consider nonadaptive search problem for an unknown element x from the set A = {1, 2, 3, . . . , 2^n}, n ≥ 3. For fixed integer S the questions are of the form: Does x belong to a subset B of A, where the sum of the elements of B is equal to S? We wish to find all integers S for which nonadaptive search with n questions finds x. We continue our investigation from [4] and solve the last remaining case n = 2^k , k ≥ 2. ...
Iterative estimators of parameters in linear models with partially variant coefficients
Shaolin Hu, Karl Meinke, Rushan Chen, Ouyang Huajiang (2007)
International Journal of Applied Mathematics and Computer Science
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A new kind of linear model with partially variant coefficients is proposed and a series of iterative algorithms are introduced and verified. The new generalized linear model includes the ordinary linear regression model as a special case. The iterative algorithms efficiently overcome some difficulties in computation with multidimensional inputs and incessantly appending parameters. An important application is described at the end of this article, which shows that this new model is reasonable...
Characterizing the general multivariate normal distribution through the conditional distributions.
Ramón Ardanuy Albajar, Jesús F. López Fidalgo (1997)
Extracta Mathematicae
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In this paper we give a characterization of the multivariate normal distribution through the conditional distributions in the most general case, which include the singular distribution.