Share
A Parametric Approach to Nonparametric Statistics (Springer Series in the Data Sciences)
Mayer Alvo; Philip L. H. Yu (Author)
·
Springer
· Hardcover
A Parametric Approach to Nonparametric Statistics (Springer Series in the Data Sciences) - Mayer Alvo; Philip L. H. Yu
£ 77.13
£ 85.70
You save: £ 8.57
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, July 08 and
Tuesday, July 09.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "A Parametric Approach to Nonparametric Statistics (Springer Series in the Data Sciences)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.