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Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)

Mayer Alvo, Philip L.H. Yu




[PDF.je37] Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)

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 | #2957989 in Books |  2014-09-03 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,.0 | File type: PDF | 273 pages

|| ||“The book is written at the level of a research monograph and is best suited for senior undergraduate and graduate students. The procedures are often illustrated by applications to real data sets. … the volume can very well serve as a textbook fo

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analys...

You can specify the type of files you want, for your gadget.Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)   |  Mayer Alvo, Philip L.H. Yu. I really enjoyed this book and have already told so many people about it!

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