A Parametric Approach to Nonparametric Statistics is popular PDF and ePub book, written by Mayer Alvo in 2018-10-12, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, A Parametric Approach to Nonparametric Statistics can be Read Online from any device for your convenience.
A Parametric Approach to Nonparametric Statistics Book PDF Summary
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.
Detail Book of A Parametric Approach to Nonparametric Statistics PDF
- Author : Mayer Alvo
- Release : 12 October 2018
- Publisher : Springer
- ISBN : 9783319941530
- Genre : Mathematics
- Total Page : 279 pages
- Language : English
- PDF File Size : 9,7 Mb
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