Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Author:by John Kloke (Author), Joseph McKean (Author)
Publisher finelybook 出版社:Chapman and Hall/CRC
Edition 版本:2nd edition
Publication Date 出版日期:2024-06-10
Language 语言:English
Print Length 页数:466pages
ISBN-10:0367651351
ISBN-13:9780367651350
Book Description
About the Author
John D. Kloke is a bit of a jack-of-all-trades as he has worked as a clinical trial statistician supporting industry as well as academic studies and he also served as a teacher-scholar at several academic institutions. He has held faculty positions at the University of California – Santa Barbara, University of Wisconsin – Madison, University of Pittsburgh, Bucknell University, and Pomona College. An early adopter of R, he is an author and maintainer of numerous R packages, including Rfit and npsm. He has published papers on nonparametric rank-based estimation, including analysis of cluster correlated data.
Joseph W. McKean is a professor emeritus of statistics at Western Michigan University. He has published many papers on nonparametric and robust statistical procedures and has co-authored several books, including Robust Nonparametric Statistical Methods and Introduction to Mathematical Statistics. He co-edited the book Robust Rank-Based and Nonparametric Methods. He served as an associate editor of several statistics journals and is a fellow of the American Statistical Association.
下载地址
相关推荐
Beginning LoRa Radio Networks with Arduino: Build Long Range,Low Power Wireless IoT Networks
Modularizing Legacy Projects Using TDD: Test-Driven Development with XCTest for iOS
Scala and Spark for Big Data Analytics
Practical Apache Spark Using the Scala API
Natural Language Processing with Python Updated Edition: From Basics to Advanced Projects
Effective C: An Introduction to Professional C Programming, 2nd Edition