Statistical Methods for Handling Incomplete Data
Kim, Jae Kwang, Shao, Jun
- 出版商: CRC
- 出版日期: 2024-01-29
- 售價: $2,340
- 貴賓價: 9.5 折 $2,223
- 語言: 英文
- 頁數: 380
- 裝訂: Quality Paper - also called trade paper
- ISBN: 103211813X
- ISBN-13: 9781032118130
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相關主題
商品描述
Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.
Features
- Uses the mean score equation as a building block for developing the theory for missing data analysis
- Provides comprehensive coverage of computational techniques for missing data analysis
- Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation
- Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data
- Describes a survey sampling application
- Updated with a new chapter on Data Integration
- Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation
The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.
商品描述(中文翻譯)
由於最近在統計計算方面的理論發現和進展,缺失數據分析領域的技術和應用有了快速發展。《處理不完整數據的統計方法》涵蓋了最新的統計理論和計算方法,用於分析不完整數據。
特點包括:
- 使用平均分數方程作為發展不完整數據分析理論的基礎
- 提供了全面的不完整數據分析計算技術
- 嚴謹地介紹了插補技術,包括多重插補和分數插補
- 探討了傾向得分方法和非可忽略缺失數據的估計技術的最新進展
- 描述了一個調查抽樣應用
- 更新了一個關於數據整合的新章節
- 現在包括一個關於高級主題的章節,包括核岭回歸插補和神經網絡模型插補
該書主要針對統計學的研究人員和研究生,也可作為具有良好數量背景的應用研究人員的參考。書中包含許多真實數據示例和模擬示例,以幫助讀者理解方法論。
作者簡介
Jae Kwang Kim is a LAS dean's professor in the Department of Statistics at Iowa State University. He is a fellow of American Statistical Association (ASA) and Institute of Mathematical Statistics (IMS). He is the recipient of 2015 Gertude M. Cox award, sponsored by Washington Statistical Society and RTI international.
Jun Shao is a professor in the Department of Statistics at University of Wisconsin - Madison. He is a fellow of ASA and IMS, a former president of International Chinese Statistical Association and currently the founding editor of Statistical Theory and Related Fields.
作者簡介(中文翻譯)
Jae Kwang Kim是愛荷華州立大學統計學系的LAS院長教授。他是美國統計學會(ASA)和數理統計學會(IMS)的會士。他是2015年由華盛頓統計學會和RTI國際贊助的Gertude M. Cox獎的獲獎者。
Jun Shao是威斯康辛大學麥迪遜分校統計學系的教授。他是ASA和IMS的會士,曾任國際華人統計學會主席,目前是《統計理論與相關領域》的創刊編輯。