Results 11 to 20 of about 128,596 (295)
Statistical inference for induced L-statistics: a random perturbation approach [PDF]
Suppose that X and Y are two numerical characteristics defined for each individual in a population. In a random sample of (X,Y) with sample size n, denote the rth ordered X variate by Xr:n and the associated Y variate, the induced rth order statistics ...
Leng, C. +5 more
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Nonparametric tests for transition probabilities in nonhomogeneous Markov processes [PDF]
This paper proposes nonparametric two-sample tests for the direct comparison of the probabilities of a particular transition between states of a continuous time non-homogeneous Markov process with a finite state space.
Bakoyannis, Giorgos
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Bayesian nonparametric estimators derived from conditional Gibbs structures [PDF]
We consider discrete nonparametric priors which induce Gibbs-type exchangeable random partitions and investigate their posterior behavior in detail.
PRUENSTER, IGOR +5 more
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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
doaj +1 more source
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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Optimal zone for bandwidth selection in semiparametric models [PDF]
10.1080/10485252.2010.533768Journal of Nonparametric Statistics233701 ...
ZHANG, Wenyang +8 more
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Nonparametric Tests for Shifts in Nonlinear Regression [PDF]
We propose nonparametric test statistics for the at most one change point (AMOC) problem in the regression function of a nonlinear regression model.
Abd-Elnaser Abd-Rabou
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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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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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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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