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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.
Bray, Andrew +4 more
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Nonparametric performance hypothesis testing with the information ratio [PDF]
Cogent Economics & Finance, 2021 This study proposes a nonparametric bootstrap-based test to compare performances between two portfolios in terms of their information ratio. This serves as an extension to the literature that tests performance between two portfolio investment strategies ...
Jacque Bon-Isaac Aboy, Joselito Magadia
doaj +3 more sources
Two-sample Bayesian Nonparametric Hypothesis Testing
Bayesian Analysis, 2015 In this article we describe Bayesian nonparametric procedures for two-sample hypothesis testing. Namely, given two sets of samples $\mathbf{y}^{\scriptscriptstyle(1)}\;$\stackrel{\scriptscriptstyle{iid}}{\s im}$\;F^{\scriptscriptstyle(1)}$ and $\mathbf{y}
Caron, François +3 more
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Statistical inferences and applications of nonparametric regression models based on fourier series [PDF]
MethodsXThis study develops statistical inference methods, including estimation and hypothesis testing procedures, which consist of partial and simultaneous tests for nonparametric regression models based on Fourier series approximations.
Suliyanto +3 more
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A statistical inference framework for FSNBLR: Modeling underdeveloped regional status in Eastern Indonesia [PDF]
MethodsXPersistent regional disparities in Indonesia, particularly in Eastern provinces, necessitate advanced modeling to understand underdevelopment determinants.
Muhammad Zulfadhli +4 more
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A method for parameter hypothesis testing in nonparametric regression with Fourier series approach
MethodsX, 2023 Nonparametric regression model with the Fourier series approach was first introduced by Bilodeau in 1994. In the later years, several researchers developed a nonparametric regression model with the Fourier series approach.
Mustain Ramli +2 more
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Methods for nonparametric statistics in scientific research. Overview. Part 1.
Теория и практика переработки мяса, 2021 Daily, researcher faces the need to compare two or more observation groups obtained under different conditions in order to confirm or argue against a scientific hypothesis.
M. A. Nikitina, I. M. Chernukna
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Компьютерная оптика, 2021 A new method for testing a hypothesis of the independence of multidimensional random variables is proposed. The technique under consideration is based on the use of a nonparametric pattern recognition algorithm that meets a maximum likelihood criterion ...
I.V. Zenkov +4 more
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Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the likelihood ratio test， six nonparametric tests， and the SAS implementation of the survival data. Based on the assumption that the survival data had the exponential distribution， the likelihood ratio test ...
Hu Chunyan, Hu Liangping
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Axioms, 2023 Over the last few decades, the statisticians and reliability analysts have looked at putting exponentiality to the test using the Laplace transform technique.
Mahmoud. E. Bakr +1 more
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