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Introduction and Motivation Read chapter Read first chapter

1989 | OriginalPaper | Chapter

The hypothesis of independence

Authors : Prof. Dr. rer. nat. Konrad Behnen, Prof. Dr. rer. nat. Georg Neuhaus

Published in: Rank Tests with Estimated Scores and Their Application

Publisher: Vieweg+Teubner Verlag

Included in: Professional Book Archive

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In this chapter we assume i.i.d. ℝ2 -valued random variables X1,..., 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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Metadata
Title
The hypothesis of independence
Authors
Prof. Dr. rer. nat. Konrad Behnen
Prof. Dr. rer. nat. Georg Neuhaus
Copyright Year
1989
Publisher
Vieweg+Teubner Verlag
Book
Rank Tests with Estimated Scores and Their Application

Print ISBN: 978-3-519-02728-7

Electronic ISBN: 978-3-322-94762-8

Copyright Year: 1989

DOI
https://doi.org/10.1007/978-3-322-94762-8_6

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