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Statistical Methods for Ranking Data (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R4,386
Discovery Miles 43 860
Repayment Terms: R411 pm x 12*
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Statistical Methods for Ranking Data (Paperback, Softcover reprint of the original 1st ed. 2014): Mayer Alvo, Philip L.H. Yu

Statistical Methods for Ranking Data (Paperback, Softcover reprint of the original 1st ed. 2014)

Mayer Alvo, Philip L.H. Yu

Series: Frontiers in Probability and the Statistical Sciences

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Loot Price R4,386 Discovery Miles 43 860 | Repayment Terms: R411 pm x 12*

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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 analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors' website.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Frontiers in Probability and the Statistical Sciences
Release date: September 2016
First published: 2014
Authors: Mayer Alvo • Philip L.H. Yu
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Paperback
Pages: 273
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-1-4939-4781-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 1-4939-4781-8
Barcode: 9781493947812

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