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Non parametric tests of independence
1980If (Xn)(1),...,Xn(p)) is for n=1,2,..., an i.i.d. sequence, with Fn(x1,...,xp) as its empirical c.d.f. with margins F n (j) , 1⩽j⩽p, the empirical dependence function Dn is the c.d.f. of a probability distribution with uniform margins on [0,1]p, and such that Fn(x1,...,xp)=Dn(F n (1) (x1),...,F n (p) (xp)).
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Parametric and non-parametric tests
Abstract Parametric and non-parametric methods for analysing continuous data are described in this chapter.Phil Ambery +2 more
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Non-parametric tests of behavior in the commons
Journal of Economic Behavior & Organization, 2023H. Spencer Banzhaf +3 more
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A Comparison of Parametric and Non-Parametric Methods Applied to a Likert Scale
Pharmacy (Basel, Switzerland), 2017Constantin Mircioiu
exaly
Non-parametric hybrid models for wind speed forecasting
Energy Conversion and Management, 2017Qinkai Han, Fanman Meng, Tao Hu
exaly