Abstract
In this chapter we assume i.i.d. ℝ2 -valued random variables X 1,..., X n with unknown (continuous) 2-dimensional distribution function F. Throughout the chapter we’ll use the following conventions and notations: If X i is a ℝ2 -valued random variable, then the components of X i will be denoted by Y i and Z i , i.e. X i = (Y i , Z i ).
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© 1989 B. G. Teubner Stuttgart
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Behnen, K., Neuhaus, G. (1989). The hypothesis of independence. In: Rank Tests with Estimated Scores and Their Application. Teubner Skripten zur Mathematischen Stochastik. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-94762-8_6
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DOI: https://doi.org/10.1007/978-3-322-94762-8_6
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
Print ISBN: 978-3-519-02728-7
Online ISBN: 978-3-322-94762-8
eBook Packages: Springer Book Archive