Results 11 to 20 of about 128,591 (295)

Bayesian nonparametric estimators derived from conditional Gibbs structures [PDF]

open access: yes, 2008
We consider discrete nonparametric priors which induce Gibbs-type exchangeable random partitions and investigate their posterior behavior in detail.
PRUENSTER, IGOR   +5 more
core   +1 more source

Applied Mathematics in the Humanities: Review of Nonparametric Statistics for the Behavioral Sciences by Sidney Siegel and N. John Castellan, Jr. (2nd ed., 1988)

open access: yesNumeracy, 2016
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

open access: yesLietuvos Matematikos Rinkinys, 1997
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
doaj   +1 more source

Nonparametric Tests for Shifts in Nonlinear Regression [PDF]

open access: yesThe Egyptian Statistical Journal, 2003
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
doaj   +1 more source

The multivariate multisample nonparametric rank statistics for the location alternatives

open access: yesAustrian Journal of Statistics, 2017
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
doaj   +1 more source

Application of the empirical Bayes approach to nonparametric testing for high-dimensional data

open access: yesLietuvos Matematikos Rinkinys, 2010
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
doaj   +1 more source

Graphic analysis of yield stability in new improved lentil (Lens culinaris Medik.) genotypes using nonparametric statistics

open access: yesActa Agriculturae Slovenica, 2014
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
doaj   +1 more source

Pseudo-Ranks: How to Calculate Them Efficiently in R

open access: yesJournal of Statistical Software, 2020
Many popular nonparametric inferential methods are based on ranks. Among the most commonly used and most famous tests are for example the Wilcoxon-Mann-Whitney test for two independent samples, and the Kruskal-Wallis test for multiple independent groups.
Martin Happ   +3 more
doaj   +1 more source

Relationship between sonorheometry parameters and laboratory values in a critical care setting in Italy: a retrospective cohort study [PDF]

open access: yesJournal of Trauma and Injury, 2023
Purpose This preliminary retrospective cohort study analyzed the relationship between the parameters provided by sonorheometry device Quantra and the coagulation values obtained from standard venous blood samples in patients admitted in intensive care ...
Antonio Romanelli   +4 more
doaj   +1 more source

A nonparametric test of exogeneity [PDF]

open access: yes, 2004
This paper is concerned with inference about a function g that is identified by a conditional moment restriction involving instrumental variables. The function is nonparametric. It satisfies mild regularity conditions but is otherwise unknown. The paper
Richard Blundell   +5 more
core   +1 more source

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