Semiparametric Theory and Missing Data
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Home > Mathematics and Science books > Mathematics > Probability and statistics > Semiparametric Theory and Missing Data
Semiparametric Theory and Missing Data

Semiparametric Theory and Missing Data


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About the Book

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.

Review :
From the reviews: "The author, who does not need an introduction had presented with clarity how he views three different subjects within a unified approach for statistical inference. It is a long awaited book for a large audience of graduate students and researchers who have often found this subject matter daunting. It is an easy decision for me to recommend this book to anyone who is interested in learning and using theories of frequentist estimation for semiparametric models and coarsened data. Even beyond his/her graduate student days, any statistical researcher interested in mastering frequentist semiparamatric estimation can pick up all the essential information from this book." (Debajyoti Sinha, American Statistical Association, JASA, March 2009, Vol. 104, No. 485)"Since much of the work in this area is very technical, it is most welcome to have a self-contained clearly written account by a highly-regarded author. The application to missing data is also clearly of great


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Product Details
  • ISBN-13: 9780387512259
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 156 mm
  • Weight: 562 gr
  • ISBN-10: 038751225X
  • Publisher Date: 21 Mar 2011
  • Binding: Paperback
  • Spine Width: 21 mm
  • Width: 234 mm


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