Coverart for item
The Resource Semiparametric theory and missing data, Anastasios A. Tsiatis, (electronic book)

Semiparametric theory and missing data, Anastasios A. Tsiatis, (electronic book)

Label
Semiparametric theory and missing data
Title
Semiparametric theory and missing data
Statement of responsibility
Anastasios A. Tsiatis
Creator
Subject
Language
eng
Summary
Missing data arise in almost all scientific disciplines. In many cases, missing data in an analysis is treated in a casual and ad-hoc manner, leading to invalid inferences and erroneous conclusions. This book summarizes knowledge regarding the theory of estimation for semiparametric models with missing data
Member of
Is part of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Tsiatis, Anastasios A.
Dewey number
519.5/44
Index
index present
LC call number
QA276.8
LC item number
.T75 2006eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • statistics
Series statement
Springer series in statistics
http://library.link/vocab/subjectName
  • Parameter estimation
  • Missing observations (Statistics)
  • Models, Statistical
  • Statistics
  • Statistical Theory and Methods
Label
Semiparametric theory and missing data, Anastasios A. Tsiatis, (electronic book)
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 375-380) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction to Semiparametric Models; Hilbert Space for Random Vectors; The Geometry of Influence Functions; Semiparametric Models; Other Examples of Semiparametric Models; Models and Methods for Missing Data; Missing and Coarsening at Random for Semiparametric Models; The Nuisance Tangent Space and Its Orthogonal Complement; Augmented Inverse Probability Weighted Complete-Case Estimators; Improving Efficiency and Double Robustness with Coarsened Data; Locally Efficient Estimators for Coarsened-Data Semiparametric Models; Approximate Methods for Gaining Efficiency
Control code
SPR209922464
Dimensions
unknown
Extent
1 online resource (xvi, 383 pages).
Form of item
online
Isbn
9780387324487
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Specific material designation
remote
Label
Semiparametric theory and missing data, Anastasios A. Tsiatis, (electronic book)
Publication
Bibliography note
Includes bibliographical references (pages 375-380) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction to Semiparametric Models; Hilbert Space for Random Vectors; The Geometry of Influence Functions; Semiparametric Models; Other Examples of Semiparametric Models; Models and Methods for Missing Data; Missing and Coarsening at Random for Semiparametric Models; The Nuisance Tangent Space and Its Orthogonal Complement; Augmented Inverse Probability Weighted Complete-Case Estimators; Improving Efficiency and Double Robustness with Coarsened Data; Locally Efficient Estimators for Coarsened-Data Semiparametric Models; Approximate Methods for Gaining Efficiency
Control code
SPR209922464
Dimensions
unknown
Extent
1 online resource (xvi, 383 pages).
Form of item
online
Isbn
9780387324487
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Specific material designation
remote

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