Abstract
Let R=(R1,R2,...,Rm) be a random vector as described in the introduction, associated with the random vector (X1,X2,...,Xm). The general linear rank-order-statistic based on R is defined by
where the constants ci, iε{1,...,m}, are called regression constants. The function a:{1,2....,m} → IR yields the so-called scores a(i).We sometimes write ai instead of a(i).
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© 1980 Birkhauser Boston
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Büringer, H., Martin, H., Schriever, KH. (1980). Subset-Selection Procedures Based on Linear Rank-Order Statistics. In: Nonparametric Sequential Selection Procedures. Birkhäuser Boston. https://doi.org/10.1007/978-1-4684-0538-5_5
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DOI: https://doi.org/10.1007/978-1-4684-0538-5_5
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-3021-8
Online ISBN: 978-1-4684-0538-5
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