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A Parametric Approach to Nonparametric Statistics (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R1,463
Discovery Miles 14 630
Repayment Terms: R137 pm x 12*
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A Parametric Approach to Nonparametric Statistics (Paperback, Softcover reprint of the original 1st ed. 2018): Mayer Alvo,...

A Parametric Approach to Nonparametric Statistics (Paperback, Softcover reprint of the original 1st ed. 2018)

Mayer Alvo, Philip L.H. Yu

Series: Springer Series in the Data Sciences

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Loot Price R1,463 Discovery Miles 14 630 | Repayment Terms: R137 pm x 12*

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This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make use of Bayesian methods to analyze ranking data. The book bridges the gap between parametric and nonparametric statistics and presents the best practices of the former while enjoying the robustness properties of the latter. This book can be used in a graduate course in nonparametrics, with parts being accessible to senior undergraduates. In addition, the book will be of wide interest to statisticians and researchers in applied fields.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Series in the Data Sciences
Release date: December 2018
First published: 2018
Authors: Mayer Alvo • Philip L.H. Yu
Dimensions: 279 x 210 x 16mm (L x W x T)
Format: Paperback
Pages: 279
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-3-03-006804-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 3-03-006804-8
Barcode: 9783030068042

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