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Non-Parametric Statistic Methods
In this chapter, we will explore various methods and statistical tests used in hypothesis validation and sample comparison. We will begin with an introduction to the formulation of scientific and statistical hypotheses and discuss the determination of the appropriate sample size.openaire +1 more source
Advanced EEG analysis using threshold-free cluster-enhancement and non-parametric statistics
NeuroImage, 2013Armand Mensen, R. Khatami
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Topics in non-parametric Bayesian statistics
2003Abstract The intersection set of Bayesian and non-parametric statistics was almost empty until about 1973, but now seems to be growing at a healthy rate. This article gives an overview of various theoretical and applied research themes in this field, partly complementing and extending recent reviews of Dey et al. (1998) and Walker et al.
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Multivariate non-parametric quality control statistics.
2009During the startup phase of a production process while statistics on the product quality are being collected it is useful to establish that the process is under control. Small samples $\{ n\sb{i}\} \sbsp{i=1}{q}$ are taken periodically for $q$ periods. We shall assume each measurement is bivariate.
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Parametric vs. Non-Parametric Statistics of Low Resolution Electromagnetic Tomography (LORETA)
Clinical EEG and Neuroscience, 2005R. W. Thatcher, D. M. North, C. Biver
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Sampling and non-parametric statistics
Revista Mexicana de OftalmologĂa (English Edition), 2023Christian Fau, Emmanuel Vazquez-Ortiz
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A non-parametric statistics based method for generic curve partition and classification
2010 IEEE International Conference on Image Processing, 2010Gang Hu, Q. Gao
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Non parametric and robust statistics for indoor distance estimation through BLE
2018 IEEE International Conference on Environmental Engineering (EE), 2018A. Maratea +4 more
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