Semiparametric Theory and Missing Data

Semiparametric Theory and Missing Data pdf epub mobi txt 電子書 下載2025

出版者:Springer-Verlag New York Inc.
作者:Tsiatis, Anastasios A.
出品人:
頁數:399
译者:
出版時間:2010-2
價格:$ 90.34
裝幀:
isbn號碼:9781441921857
叢書系列:
圖書標籤:
  • Statistics 
  • 非參數統計 
  • Semiparametric 
  • MissingData 
  • Mathematics 
  • 數學 
  •  
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This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.

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Very elegant teaching style

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Very elegant teaching style

评分

Very elegant teaching style

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fairly nice and straightforward explanation for eff semipar bound in the event that the parameter of interest can be concretely written. It is however relying too much on the restricted moment model to prove things and to some extent, skipping the elegant treatment using generic fuctional analysis methods. Bridging this book to BKRW is hard.

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Very elegant teaching style

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