H. Woźniakowski (2006)
Banach Center Publications
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We survey recent results on tractability of multivariate problems. We mainly restrict ourselves to linear multivariate problems studied in the worst case setting. Typical examples include multivariate integration and function approximation for weighted spaces of smooth functions.
S.M. Shah, S.R. Patel (1978)
Metrika
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S.R. Patel (1978)
Metrika
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Jean-Paul Calvi, Phung Van Manh (2005)
Bulletin of the Polish Academy of Sciences. Mathematics
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We give an elementary proof of the product formula for the multivariate transfinite diameter using multivariate Leja sequences and an identity on vandermondians.
S.R. Patel (1979)
Metrika
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Agnieszka Kulawik, Stefan Zontek (2016)
Discussiones Mathematicae Probability and Statistics
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Robust estimation presented in the following paper is based on Fisher consistent and Fréchet differentiable statistical functionals. The method has been used in the multivariate normal model with variance components [5]. To transfer the method to estimate vector of expectations and positive definite covariance matrix of the multivariate normal model it is required to express the covariance matrix as a linear combination of basic elements of the vector space of real, square and symmetric...
Chunsheng Ma (1996)
Metrika
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Fabrizio Caselli (2008)
Bollettino dell'Unione Matematica Italiana
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We show the existence of a multivariate extension of the Robinson-Schensted correspondence. This is inspired by the interpretation of the classical two dimensional case in the invariant theory of (finite) reflection groups.
M. Rueda Garcia, A. Arcos Cebriân (1997)
Metrika
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Clarence Simard, Bruno Rémillard (2015)
Dependence Modeling
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In this paper we present a forecasting method for time series using copula-based models for multivariate time series. We study how the performance of the predictions evolves when changing the strength of the different possible dependencies, as well as the structure of the dependence. We also look at the impact of the marginal distributions. The impact of estimation errors on the performance of the predictions is also considered. In all the experiments, we compare predictions from our...
Iwona Janicka (2005)
Discussiones Mathematicae Probability and Statistics
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Meta-analysis is a standard statistical method used to combine the conclusions of individual studies that are related and the results of single study alone can not answered to deal with issues. The data are summarized by one or more outcome measure estimates along with their standard errors. The multivariate model and the variations between studies are not considered in most articles. Here we discuss multivariate effects models: a multivariate fixed effects model and a multivariate random...
Maria Kozłowska, Monika Jaskulska, Agnieszka Łacka, Radosław J. Kozłowski (2014)
Biometrical Letters
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As a result of intensive changes in plant production and of environmental changes in agrocenoses, certain agrophages, such as slugs, have in recent years been causing ever increasing amounts of damage to crops of agricultural, horticultural and orchard plants. As a result of the European Parliament and Council Directive adopted on 13 January 2009, the countries of Europe have been required to implement integrated plant protection. One of the principles of this protection is the implementation...
Jitka Zichová (2011)
Acta Universitatis Carolinae. Mathematica et Physica
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Hana Boháčová (2008)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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In linear regression models the estimator of variance components needs a suitable choice of a starting point for an iterative procedure for a determination of the estimate. The aim of this paper is to find a criterion for a decision whether a linear regression model enables to determine the estimate reasonably and whether it is possible to do so when using the given data.