Nonparametric Statistical Methods Using R
暫譯: 使用 R 的非參數統計方法

Kloke, John, McKean, Joseph

Nonparametric Statistical Methods Using R
  • 出版商: CRC
  • 出版日期: 2020-12-18
  • 售價: $2,180
  • 貴賓價: 9.5 折 $2,071
  • 語言: 英文
  • 頁數: 287
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367739720
  • ISBN-13: 9780367739720

    • 海外代購書籍(需單獨結帳)

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商品描述

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures





Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm.





The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data.





The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R.

商品描述(中文翻譯)

《實用的非參數與秩基程序實施指南》

《使用 R 的非參數統計方法》涵蓋了傳統的非參數方法和基於秩的分析，包括對從簡單位置模型到一般線性和非線性模型的估計和推斷，這些模型適用於不相關和相關的反應。作者強調應用和統計計算。他們使用 R 語言通過許多真實和模擬數據示例來說明這些方法，包括 Rfit 和 npsm 套件。

本書首先概述了 R 語言和基本統計概念，然後討論非參數方法。它介紹了針對單樣本和雙樣本問題的基於秩的方法、回歸模型的程序、一般固定效應的 ANOVA 和 ANCOVA 模型的計算，以及事件發生時間的分析。最後兩章涵蓋了更高級的內容，包括一般回歸模型的高破壞擬合和針對集群相關數據的基於秩的推斷。

本書可作為應用非參數或穩健程序課程的主要教材或補充資料，也可作為需要在實踐中實施非參數和基於秩的方法的研究人員的參考。通過大量示例，它向讀者展示了如何使用 R 應用這些方法。

作者簡介

John Kloke is a biostatistician and assistant scientist at the University of Wisconsin-Madison. He has held faculty positions at the University of Pittsburgh, Bucknell University, and Pomona College. An R user for more than 15 years, 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 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 is an associate editor of several statistics journals and a fellow of the American Statistical Association.

作者簡介(中文翻譯)

約翰·克洛克（John Kloke）是威斯康辛大學麥迪遜分校的生物統計學家及助理科學家。他曾在匹茲堡大學、巴克內爾大學和波莫納學院擔任教職。作為一名使用 R 語言超過 15 年的用戶，他是多個 R 套件的作者和維護者，包括 Rfit 和 npsm。他在非參數秩基估計方面發表了多篇論文，包括對聚類相關數據的分析。

約瑟夫·W·麥基恩（Joseph W. McKean）是西密歇根大學的統計學教授。他在非參數和穩健統計程序方面發表了許多論文，並共同撰寫了幾本書籍，包括《穩健非參數統計方法（Robust Nonparametric Statistical Methods）》和《數學統計學導論（Introduction to Mathematical Statistics）》。他是幾本統計學期刊的副編輯，也是美國統計協會的研究員。

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