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A Parametric Approach To Nonparametric Statistics Mayer Alvo

Name: A Parametric Approach To Nonparametric Statistics Mayer Alvo
SKU: BELL-7215076
Price: 31.00 USD
Availability: InStock
Rating: 5 (48 reviews)

SKU: BELL-7215076

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

48 reviews

A Parametric Approach To Nonparametric Statistics Mayer Alvo instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 3.22 MB

Pages: 277

Author: Mayer Alvo, Philip L. H. Yu

ISBN: 9783319941523, 3319941526

Language: English

Year: 2018

Product desciption

A Parametric Approach To Nonparametric Statistics Mayer Alvo by Mayer Alvo, Philip L. H. Yu 9783319941523, 3319941526 instant download after payment.

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.