Contributions to Sampling Statistics

Front Cover
Fulvia Mecatti, Pier Luigi Conti, Maria Giovanna Ranalli
Springer, Jun 2, 2014 - Business & Economics - 233 pages
This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013. It is intended as an international forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human and natural sciences. The book gathers research papers carefully selected from both invited and contributed sessions of the conference. The whole book appears to be a relevant contribution to various key aspects of sampling methodology and techniques; it deals with some hot topics in sampling theory, such as calibration, quantile-regression and multiple frame surveys and with innovative methodologies in important topics of both sampling theory and applications. Contributions cut across current sampling methodologies such as interval estimation for complex samples, randomized responses, bootstrap, weighting, modeling, imputation, small area estimation and effective use of auxiliary information; applications cover a wide and enlarging range of subjects in official household surveys, Bayesian networks, auditing, business and economic surveys, geostatistics and agricultural statistics. The book is an updated, high level reference survey addressed to researchers, professionals and practitioners in many fields.
 

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Contents

Calibration Weighting When Model and Calibration Variables Can Differ
1
MQuantile Small Area Models for Measuring Poverty at a Local Level
19
Use of Zero Functions for Combining Information from Multiple Frames
35
The Analysis of Survey Data Using the Bootstrap
53
An Application to the eusilc Household Surveys
65
Responsive Design for Economic Data in MixedMode Panels
85
Comparing the Efficiency of Sample Plans for Symmetric and Nonsymmetric Distributions in Auditing
102
Implementing the First ISTAT Survey of Homeless Population by Indirect Sampling and Weight Sharing Method
119
An Application to 2008 SHIW
139
A Way of Reconciliation
151
Optimal Regression Estimator for Stratified TwoStage Sampling
167
Spatial Sampling for Agricultural Data
178
A Multiproportion Randomized Response Model Using the Inverse Sampling
199
A Modified Extended Delete a Group Jackknife Variance Estimator Under Random Hot Deck Imputation in Business Surveys
219
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