Journal ArticleDOI
Estimation of parameters in survey sampling: Optimality
TLDR
Some recent works on estimation in survey sampling are analyzed and extended from the perspective of the theory of optimal estimating functions as discussed by the authors, and some of these works have been extended to survey sampling.Abstract:
Some recent works on estimation in survey sampling are analyzed and extended from the perspective of the theory of optimal estimating functions.
Quelques recents travaux concernant l'estimation dans les enquětes par sondage sont analyses et approfondis dans la perspective de la theorie des functions d'estimation optimales.read more
Citations
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Journal ArticleDOI
Developments in sample survey theory: An appraisal
TL;DR: Recent developments in sample survey theory include the following topics: foundational aspects of inference, resampling methods for variance and confidence interval estimation, imputation for nonresponse and analysis of complex survey data.
Journal ArticleDOI
The pseudo-GEE approach to the analysis of longitudinal surveys
TL;DR: In this article, the authors developed a pseudo-GEE approach for the analysis of survey data and showed that survey weights must and can be appropriately accounted in the generalized estimating equations (GEE) method under a joint randomization framework.
Journal Article
A pseudo-GEE approach to analyzing longitudinal surveys under imputation por missing responses
TL;DR: In this paper, a cycle-specific marginal hotdeck imputation method is proposed to fill in the missing responses and the pseudo-GEE method described in Carrillo et al. (2009) is applied to the imputed data set.
Dissertation
Analysis of Longitudinal Surveys with Missing Responses
Carrillo Garcia,Ivan Adolfo +1 more
TL;DR: This article developed methods for the analysis of longitudinal surveys when the response variable contains missing values, with a major focus on using the generalized estimating equation approach when missing responses are handled through hot-deck imputation.
References
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Book
Model assisted survey sampling
TL;DR: This book presents the principles of Estimation for Finite Populations and Important Sampling Designs and a Broader View of Errors in Surveys: Nonsampling Errors and Extensions of Probability Sampling Theory.
Journal ArticleDOI
Analysis of complex surveys
TL;DR: Part 1 Aggregated analysis - standard errors and significance tests: introduction, C.J.Skinner domain means, regression and multivariate analysis, C-Skinner chi-squared tests for contigency tables, J.K.Rao and D.M.Thomas measures of association for contingency tables, E.D.Holt and P.Wild.
Journal ArticleDOI
The Role of Sampling Weights when Modeling Survey Data
TL;DR: In this paper, the authors provide a critical survey of the literature on the use of sampling weights for analytic inference about model parameters and develop guidelines for how to incorporate the weights in the analysis.
Journal ArticleDOI
On finite population sampling theory under certain linear regression models
TL;DR: In this article, the authors derived optimal strategies involving linear estimators under certain variance assumptions and compared them under various assumptions under a superpopulation model, and showed that the conventional ratio estimator is, in a certain natural sense, optimal.