Results 11 to 20 of about 334,334 (190)
Genotype performances in multi-environment trials are usually analyzed by different univariate and multivariate parametric models for assessing yield stability and genotype × environment (GE) interaction investigation.
Naser SABAGHNIA
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Parametric and Nonparametric Methods in Medical Statistics
The article is devoted to the conditions of applicability of parametric and nonparametric methods, including criticism of frequent methodological errors.
A. N. Gerasimov, N. I. Morozova
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Sydney Siegel and N. John Castellan, Jr. Nonparametric Statistics for the Behavioral Sciences, Second Edition (New York NY: McGraw Hill, 1988). 399 pp. ISBN: 9780070573574.
Paul H. Grawe
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Rejoinder to discussions of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" [PDF]
Rejoinder of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" by Szab\'o, van der Vaart and van Zanten [arXiv:1310.4489v5].Comment: Published at http://dx.doi.org/10.1214/15-AOS1270REJ in the Annals of Statistics (http://www ...
Szabó, Botond +2 more
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Determining the number of clusters using nonparametric statistics
A Gaussian mixture model is investigated in this paper. A method for estimation of unknown number of clusters in the case of equal covariance matrices is discribed. This method is based on the use of projection pursuit.
Darius Šimoliūnas
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The multivariate multisample nonparametric rank statistics for the location alternatives
Multisample testing problems are among the most important topics in nonparametric statistics. Various nonparametric tests have been proposed for multisample testing problems involving location parameters, and the analysis of multivariate data is ...
Hidetoshi Murakami
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A Study of Seven Asymmetric Kernels for the Estimation of Cumulative Distribution Functions
In this paper, we complement a study recently conducted in a paper of H.A. Mombeni, B. Masouri and M.R. Akhoond by introducing five new asymmetric kernel c.d.f.
Pierre Lafaye de Micheaux +1 more
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Application of the empirical Bayes approach to nonparametric testing for high-dimensional data
In [5] a simple, data-driven and computationally efficient procedure of (nonparametric) testing for high-dimensional data have been introduced. The procedure is based on randomization and resampling, a special sequential data partition procedure, and χ2 ...
Gintautas Jakimauskas +1 more
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Asymptotic equivalence and adaptive estimation for robust nonparametric regression [PDF]
Asymptotic equivalence theory developed in the literature so far are only for bounded loss functions. This limits the potential applications of the theory because many commonly used loss functions in statistical inference are unbounded.
Cai, T. Tony, Zhou, Harrison H.
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Yield stability is an interesting feature of today’s lentil breeding programs, due to the high annual variation in mean yield, particularly in the arid and semi-arid areas.
Naser SABAGHNIA +2 more
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