Coverart for item
The Resource Missing data and small-area estimation : modern analytical equipment for the survey statistician, Nicholas T. Longford

Missing data and small-area estimation : modern analytical equipment for the survey statistician, Nicholas T. Longford

Label
Missing data and small-area estimation : modern analytical equipment for the survey statistician
Title
Missing data and small-area estimation
Title remainder
modern analytical equipment for the survey statistician
Statement of responsibility
Nicholas T. Longford
Title variation
Modern analytical equipment for the survey statistician
Creator
Subject
Language
eng
Summary
"This book develops methods for two key problems in the analysis of large-scale surveys: dealing with incomplete data and making inferences about sparsely represented subdomains. The presentation is committed to two particular methods, multiple imputation for missing data and multivariate composition for small-area estimation. The methods are presented as developments of established approaches by attending to their deficiencies. Thus the change to more efficient methods can be gradual, sensitive to the management priorities in large research organisations and multidisciplinary teams and to other reasons for inertia. The typical setting of each problem is addressed first, and then the constituency of the applications is widened to reinforce the view that the general method is essential for modern survey analysis. The general tone of the book is not "from theory to practice," but "from current practice to better practice." The third part of the book, a single chapter, presents a method for efficient estimation under model uncertainty. It is inspired by the solution for small-area estimation and is an example of "from good practice to better theory."" "A strength of the presentation is chapters of case studies, one for each problem. Whenever possible, turning to examples and illustrations is preferred to the theoretical argument. The book is suitable for graduate students and researchers who are acquainted with the fundamentals of sampling theory and have a good grounding in statistical computing, or in conjunction with an intensive period of learning and establishing one's own modern computing and graphical environment that would serve the reader for most of the analytical work in the future."--Jacket
Member of
Cataloging source
COO
http://library.link/vocab/creatorDate
1955-
http://library.link/vocab/creatorName
Longford, Nicholas T.
Dewey number
001.4/33
Illustrations
illustrations
Index
index present
LC call number
HA31.2
LC item number
.L66 2005
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Statistics for social science and public policy
http://library.link/vocab/subjectName
  • Surveys
  • Social surveys
  • Missing observations (Statistics)
  • Estimation theory
  • Social sciences
  • Data Interpretation, Statistical
  • Models, Statistical
  • Statistics as Topic
  • Levés
  • Enquêtes sociales
  • Observations manquantes (Statistique)
  • Estimation, Théorie de l'
  • Sciences sociales
  • REFERENCE
  • Surveys
  • Social surveys
  • Missing observations (Statistics)
  • Estimation theory
  • Social sciences
  • Estimation theory
  • Missing observations (Statistics)
  • Social sciences
  • Social surveys
  • Surveys
  • Ontbrekende gegevens
  • Schattingstheorie
Label
Missing data and small-area estimation : modern analytical equipment for the survey statistician, Nicholas T. Longford
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 337-352) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Prologue; Describing incompleteness; Single imputation and related methods; Multiple imputation; Case studies; Introduction; Models for small areas; Using auxiliary information; Using small-area estimators; Case studies; Model selection
Control code
62776381
Dimensions
unknown
Extent
1 online resource (xv, 357 pages)
Form of item
online
Isbn
9781846281952
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-1-85233-760-5
Specific material designation
remote
System control number
(OCoLC)62776381
Label
Missing data and small-area estimation : modern analytical equipment for the survey statistician, Nicholas T. Longford
Publication
Bibliography note
Includes bibliographical references (pages 337-352) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Prologue; Describing incompleteness; Single imputation and related methods; Multiple imputation; Case studies; Introduction; Models for small areas; Using auxiliary information; Using small-area estimators; Case studies; Model selection
Control code
62776381
Dimensions
unknown
Extent
1 online resource (xv, 357 pages)
Form of item
online
Isbn
9781846281952
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-1-85233-760-5
Specific material designation
remote
System control number
(OCoLC)62776381

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      38.944491 -92.326012
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