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Minimum variance rectangular designs for U-statistics by Grzegorz A. Rempala; Sudesh Srivastav is a Mathematics article available to read on EtoBox.

What is Minimum variance rectangular designs for U-statistics about?

We consider a certain class of rectangular designs for incomplete U-statistics based on Latin squares and show it to be optimal with respect to the minimal variance criterion. We also show it to be asymptotically e cient when compared with the corresponding complete statistics, as well as uniformly more e cient than the random subset selection. We provide the necessary and su cient conditions for the existence of our design and give some examples of applications.

Who reads Minimum variance rectangular designs for U-statistics?

It is typically read by researchers, students, and practitioners in Mathematics.

Author
Grzegorz A. Rempala; Sudesh Srivastav
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0378-3758)
Published
2004
Language
EN
Field
Mathematics (Physical Sciences)

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