A Parametric Approach to Nonparametric Statistics

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book A Parametric Approach to Nonparametric Statistics by Mayer Alvo, Philip L. H. Yu, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Mayer Alvo, Philip L. H. Yu ISBN: 9783319941530
Publisher: Springer International Publishing Publication: October 12, 2018
Imprint: Springer Language: English
Author: Mayer Alvo, Philip L. H. Yu
ISBN: 9783319941530
Publisher: Springer International Publishing
Publication: October 12, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Analysis and Modeling of Complex Data in Behavioral and Social Sciences by Mayer Alvo, Philip L. H. Yu
Cover of the book Understanding Campus-Community Partnerships in Conflict Zones by Mayer Alvo, Philip L. H. Yu
Cover of the book The Quest to Cyber Superiority by Mayer Alvo, Philip L. H. Yu
Cover of the book Coordination Control of Distributed Systems by Mayer Alvo, Philip L. H. Yu
Cover of the book Literary Studies and the Philosophy of Literature by Mayer Alvo, Philip L. H. Yu
Cover of the book Electronic Participation by Mayer Alvo, Philip L. H. Yu
Cover of the book ADAMTS13 by Mayer Alvo, Philip L. H. Yu
Cover of the book Creating Models in Psychological Research by Mayer Alvo, Philip L. H. Yu
Cover of the book Cultural Encounters and Emergent Practices in Conflict Resolution Capacity-Building by Mayer Alvo, Philip L. H. Yu
Cover of the book Healthy at Work by Mayer Alvo, Philip L. H. Yu
Cover of the book Algorithms and Models for the Web Graph by Mayer Alvo, Philip L. H. Yu
Cover of the book Smart Cities Performability, Cognition, & Security by Mayer Alvo, Philip L. H. Yu
Cover of the book Symmetry Properties in Transmission Lines Loaded with Electrically Small Resonators by Mayer Alvo, Philip L. H. Yu
Cover of the book Debye Screening Length by Mayer Alvo, Philip L. H. Yu
Cover of the book Foliation Theory in Algebraic Geometry by Mayer Alvo, Philip L. H. Yu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy