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Communications in Statistics - Theory and Methods Volume 28, 1999 - Issue 1
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Original Articles

A general rank based approach to the analysis of block data

Mayer Alvo University of Ottawa, 585 King Edward, Ottawa, ON, KIN 6N5, Canada
&
Paul Cabilio Acadia University, Wolfville, NS, Canada
Pages 197-215 | Received 01 Jan 1998, Published online: 16 Feb 2011

Citations (7)

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Read on this site (2)

Mayer Alvo & Xiuwen Duan. (2023) Model fitting using partially ranked data. Journal of Nonparametric Statistics 35:3, pages 587-600.
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Mayer Alvo. (2016) Bridging the gap: A likelihood function approach for the analysis of ranking data. Communications in Statistics - Theory and Methods 45:19, pages 5835-5847.
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Articles from other publishers (5)

Mayer Alvo & Philip L. H. YuMayer Alvo & Philip L. H. Yu. 2018. A Parametric Approach to Nonparametric Statistics. A Parametric Approach to Nonparametric Statistics 163 186 .
Mayer Alvo & Philip L. H. YuMayer Alvo & Philip L. H. Yu. 2018. A Parametric Approach to Nonparametric Statistics. A Parametric Approach to Nonparametric Statistics 137 161 .
Mayer Alvo. 2015. Asymptotic Laws and Methods in Stochastics. Asymptotic Laws and Methods in Stochastics 367 377 .
Mayer Alvo & Paul Cabilio. (2005) General scores statistics on ranks in the analysis of unbalanced designs. Canadian Journal of Statistics 33:1, pages 115-129.
Crossref
Michael G. Akritas & Edgar Brunner. 2003. Recent Advances and Trends in Nonparametric Statistics. Recent Advances and Trends in Nonparametric Statistics 79 91 .

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