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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
, 2014 A novel presentation of rank and permutation tests, with accessible guidance to applications in R. Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust
S. Bonnini +3 more
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Hypothesis testing sure independence screening for nonparametric regression
Electronic Journal of Statistics, 2018 The authors develop a sure independence screening method based on hypothesis testing (HT-SIS) in a general nonparametric regression model. \textit{J. Fan} and \textit{J. Lv} [``Sure independence screening for ultrahigh dimensional feature space (with discussion)'', J. Royal Stat. Soc. B 70, No. 5, 849--911 (2008; \url{doi:10.1111/j.1467-9868.2008.00674.
Adriano Zanin Zambom, Michael G. Akritas
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Nonparametric pragmatic hypothesis testing [PDF]
, 2022 Rodrigo F. L. Lassance
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Minimax nonparametric hypothesis testing for ellipsoids and Besov bodies [PDF]
, 2012 Yu. I. Ingster, I. Suslina
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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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Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point [PDF]
, 2000 Oleg Lepski, A. B. Tsybakov
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Non-parametric hypothesis testing to model some cancers based on goodness of fit
AIMS Mathematics, 2022 By observing the failure behavior of the recorded survival data, we aim to compare the different processing approaches or the effectiveness of the devices or systems applied in this non-parametric statistical test.
M. E. Bakr +2 more
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Nonparametric fuzzy hypothesis testing for quantiles applied to clinical characteristics of COVID‐19
International Journal of Intelligent Systems, 2021 The sign test is one of the most popular nonparametric tests for location problems and allows testing for any quantile of a population. However, the common sign test has serious drawbacks such as loss of information by considering solely signs of ...
Nataliya Chukhrova, Arne Johannssen
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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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