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Nonparametric Hypothesis Testing Report
, 2018 This report is the brief survey of nonparametric hypothesis testing. It includes four main sections about hypothesis testing, one additional section discussing goodness-of-fit and conclusion section.Sign test section gives an overview of nonparametric testing, which begins with the test on sample median without assumption of normal distribution.Signed ...
Loc Nguyen
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Differentially Private Nonparametric Hypothesis Testing [PDF]
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019 Hypothesis tests are a crucial statistical tool for data mining and are the workhorse of scientific research in many fields. Here we study differentially private tests of independence between a categorical and a continuous variable. We take as our starting point traditional nonparametric tests, which require no distributional assumption (e.g ...
Simon Couch +4 more
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Nonparametric Hypothesis Tests for Statistical Dependency [PDF]
IEEE Transactions on Signal Processing, 2004 Determining the structure of dependencies among a set of variables is a common task in many signal and image processing applications, including multitarget tracking and computer vision. In this paper, we present an information-theoretic, machine learning approach to problems of this type. We cast this problem as a hypothesis test between factorizations
Alexander T. Ihler +2 more
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An Entropy-Based Approach for Nonparametrically Testing Simple Probability Distribution Hypotheses
Econometrics, 2022 In this paper, we introduce a flexible and widely applicable nonparametric entropy-based testing procedure that can be used to assess the validity of simple hypotheses about a specific parametric population distribution. The testing methodology relies on
Ron Mittelhammer +2 more
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On the Power of Some Nonparametric Isotropy Tests
Acta Universitatis Lodziensis. Folia Oeconomica, 2020 In this paper, properties of nonparametric significance tests verifying the random field isotropy hypothesis are discussed. In particular, the subject of the conducted analysis is the probability of rejecting the null hypothesis when it is true.
Krzysztof Szymoniak-Książek
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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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NonpModelCheck: An R Package for Nonparametric Lack-of-Fit Testing and Variable Selection
Journal of Statistical Software, 2017 We describe the R package NonpModelCheck for hypothesis testing and variable selection in nonparametric regression. This package implements functions to perform hypothesis testing for the significance of a predictor or a group of predictors in a fully ...
Adriano Zanin Zambom, Michael G. Akritas
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Application of the empirical Bayes approach to nonparametric testing for high-dimensional data
Lietuvos 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
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Testing the martingale difference hypothesis using integrated regression functions [PDF]
, 2006 An omnibus test for testing a generalized version of the martingale difference hypothesis (MDH) is proposed. This generalized hypothesis includes the usual MDH, testing for conditional moments constancy such as conditional homoscedasticity (ARCH effects)
Velasco Gómez, Carlos +6 more
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A Testing for New Renewal Better than Used Class of Survival Functions [PDF]
The Egyptian Statistical Journal, 2000 A U-statistic is derived for testing exponentiality against new renewal better (worse) than used. For this class of life distributions, a nonparametric procedure (U-statistic) is presented in this investigation. Selected critical values are tabulated for
M. Hendi
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