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Nonparametric Tests Applicable to High Dimensional Data
Austrian Journal of Statistics, 2019 Constructions of data driven ordering of set of multivariate observations are presented. The methods employ also dissimilarity measures. The ranks are used in the construction of test statistics for location problem and in the construction of the ...
Frantisek Rublik
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Multivariate Nonparametric Tests
Statistical Science, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oja, Hannu, Randles, Ronald H.
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Nonparametric Tests for Treatment Effect Heterogeneity With Duration Outcomes [PDF]
Journal of business & economic statistics, 2016 This article proposes different tests for treatment effect heterogeneity when the outcome of interest, typically a duration variable, may be right-censored.
Pedro H. C. Sant’Anna
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Nonparametric Rank Tests for Independence in Opinion Surveys
Austrian Journal of Statistics, 2016 Nonparametric rank tests for independence between two characteristics are commonly used in many social opinion surveys. When both characteristics are ordinal in nature, tests based on rank correlations such as those due to Spearman and Kendall are often ...
Philip L.H. Yu, K.F. Lam, Mayer Alvo
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Testing nonparametric shape restrictions [PDF]
The Annals of Statistics, 2023 We describe and examine a test for a general class of shape constraints, such as constraints on the signs of derivatives, U-(S-)shape, symmetry, quasi-convexity, log-convexity, $r$-convexity, among others, in a nonparametric framework using partial sums empirical processes. We show that, after a suitable transformation, its asymptotic distribution is a
Komarova, Tatiana, Hidalgo, Javier
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Sign, Wilcoxon and Mann-Whitney Tests for Functional Data: An Approach Based on Random Projections
Mathematics, 2020 Sign, Wilcoxon and Mann-Whitney tests are nonparametric methods in one or two-sample problems. The nonparametric methods are alternatives used for testing hypothesis when the standard methods based on the Gaussianity assumption are not suitable to be ...
Rafael Meléndez +2 more
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Trend Analysis of Temperature, Precipitation, and Relative Humidity Changes in Iran [PDF]
علوم و مهندسی آبیاری, 2019 Introduction In the pursuit of detecting the trend and the shift in trend in hydro-meteorological variables, various statistical methods have been developed and used over the years.
Anahita Eblaghian +3 more
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Nonparametric Clustering of Mixed Data Using Modified Chi-Squared Tests
Entropy, 2022 We propose a non-parametric method to cluster mixed data containing both continuous and discrete random variables. The product space of the continuous and discrete sample space is transformed into a new product space based on adaptive quantization on the
Yawen Xu, Xin Gao, Xiaogang Wang
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Nonparametric tests of conditional treatment effects [PDF]
, 2009 We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the ...
Lee, S., Whang, Y.-J.
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“Optimum” Nonparametric Tests [PDF]
, 1951 The problem of “optimum” tests has two aspects: (1) the choice of a definition of “optimum,” and (2) the mathematical problem of constructing the test. The second problem may be difficult, but at least it is definite once an “optimum” test has been defined. But the definition itself involves a considerable amount of arbitrariness.
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