Partially Linear Models (Contributions to Statistics)
1 edition
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Author
Publication
2000-10-27 - Physica-Verlag Heidelberg
Language
English
Word Count
50,750 words, Guess
Page Count
203 pages
Physical Format
Paperback
Identifiers
- Open LibraryOL9103909M
- ISBN-139783790813005
- ISBN-103790813001
- OCLC Control Number44681850
- Library of Congress Control Number00060630
and 2 more
- Goodreads4108689
- LibraryThing5164854
Classifications
- LCCQA273.A1-274.9QA274-
Description
In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on applications of partially linear regression techniques to various statistical problems. These problems include least squares regression, asymptotically efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and nonparametric time series models.
Subjects
Topics
Other Editions
- Partially Linear Models (Contributions to Statistics)
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