Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Longford, Nicholas T. (1955-....)
Titre(s) : Missing data and small-area estimation [Texte électronique] : modern analytical equipment for the survey statistician / Nicholas T. Longford
Publication : New York : Springer, 2005
Description matérielle : 1 online resource (xv, 357 pages)
Collection : Statistics for social science and public policy
Note(s) : Includes bibliographical references (pages 337-352) and index
"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
Autre(s) forme(s) du titre :
- Autre forme du titre : Modern analytical equipment for the survey statistician
Sujet(s) : Observations manquantes (statistique)
Estimation, Théorie de l'
Sciences sociales -- Recherche -- Méthodes statistiques
Référence (linguistique) -- Recherche
Indice(s) Dewey :
001.433 (23e éd.) = Recherche descriptive
Identifiants, prix et caractéristiques : ISBN 9781846281952
Identifiant de la notice : ark:/12148/cb446701583
Notice n° :
FRBNF44670158
(notice reprise d'un réservoir extérieur)
Table des matières : 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.
