Universal Codes as a Basis for Time Series Testing [PDF]
, 2005 We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, based on any lossless data compression method even if the distribution law of
Astola, Jaakko, Ryabko, Boris
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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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Bootstrap Statistical Inference for the Variance Based on Fuzzy Data
Austrian Journal of Statistics, 2016 The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. In this paper we describe a
Mohammad Ghasem Akbari +1 more
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Testing jumps via false discovery rate control. [PDF]
PLoS ONE, 2013 Many recently developed nonparametric jump tests can be viewed as multiple hypothesis testing problems. For such multiple hypothesis tests, it is well known that controlling type I error often makes a large proportion of erroneous rejections, and such ...
Yu-Min Yen
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Simultaneous Hypothesis Testing of Multivariable Nonparametric Spline Regression in the GWR Model
International Journal of Statistics and Probability, 2019 In this research, studied multivariable nonparametric geographically weighted regression use truncated spline approach. The model is an expansion of nonparametric truncated spline regression that takes into account geographical or spatial factors.
Sifriyani Sifriyani
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Multivariate small sample tests for two-way designs with applications to industrial statistics [PDF]
, 2018 In this paper, we present a novel nonparametric approach for multivariate analysis of two-way crossed factorial design based on NonParametric Combination applied to Synchronized Permutation tests.
Arboretti, Rosa +4 more
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A technique for testing hypotheses for distributions of multidimensional spectral data using a nonparametric pattern recognition algorithm [PDF]
Компьютерная оптика, 2019 The paper deals with a new method of testing hypotheses for the distribution of multidimensional remote sensing spectral data. The proposed technique is based on the use of nonparametric algorithms for pattern recognition.
Alexander Lapko, Vasily Lapko
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The application of modified free inquiry for the science process skills
Jurnal Mangifera Edu, 2022 This study aimed to improve students' science process skills by applying modified free inquiry, which is a modification of two approaches: guided inquiry and free inquiry. The research method used is true-experimental design.
Yeni Suryaningsih +1 more
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Some hypothesis testing problems for categorical variables
Statistica, 2007 This paper considers some testing problems for multivariate categorical variables within a conditional, or permutation, framework. The key idea is based on the decomposition of null and alternative hypotheses into a number of sub-hypotheses. For each sub-
Fortunato Pesarin
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Asymptotic equivalence and adaptive estimation for robust nonparametric regression [PDF]
, 2009 Asymptotic equivalence theory developed in the literature so far are only for bounded loss functions. This limits the potential applications of the theory because many commonly used loss functions in statistical inference are unbounded.
Cai, T. Tony, Zhou, Harrison H.
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