Model-assisted survey estimation with modern prediction techniques

FJ Breidt, JD Opsomer - 2017 - projecteuclid.org
This paper reviews the design-based, model-assisted approach to using data from a
complex survey together with auxiliary information to estimate finite population parameters …

Approaches to improving survey-weighted estimates

Q Chen, MR Elliott, D Haziza, Y Yang, M Ghosh… - 2017 - projecteuclid.org
Supplement to “Approaches to Improving Survey-Weighted Estimates”. The Supplementary
Material includes the density plots of the size variables, and dot plots summarizing the …

[HTML][HTML] On comparing design-based estimation versus model-based prediction to assess the abundance of biological populations

P Aubry, C Francesiaz - Ecological Indicators, 2022 - Elsevier
Assessing the abundance of biological populations is a central technical challenge in
ecology, whether fundamental or applied. Although the question faced is simple, it is actually …

Controlling the bias of robust small-area estimators

VD Jiongo, D Haziza, P Duchesne - Biometrika, 2013 - academic.oup.com
Abstract Sinha & Rao (2009) proposed estimation procedures designed for small-area
means, based on robustified maximum likelihood estimators and robust empirical best linear …

Variance estimation using linearization for poverty and social exclusion indicators

E Graf, Y Tillé - Survey Methodology, 2014 - go.gale.com
We have used the generalized linearization technique based on the concept of influence
function, as Osier has done (Osier 2009), to estimate the variance of complex statistics such …

Outlier robust small‐area estimation under spatial correlation

T Schmid, N Tzavidis, R Münnich… - … Journal of Statistics, 2016 - Wiley Online Library
Modern systems of official statistics require the estimation and publication of business
statistics for disaggregated domains, for example, industry domains and geographical …

Introduction to sampling and estimation for business surveys

PA Smith, W Yung - … in Business Statistics, Methods and Data …, 2023 - Wiley Online Library
Establishment surveys are characterized by skewed populations, with a few large units
having a disproportionate contribution to statistics, and a large number of smaller units. They …

Optimal probability weights for inference with constrained precision

M Santacatterina, M Bottai - Journal of the American Statistical …, 2018 - Taylor & Francis
Probability weights are used in many areas of research including complex survey designs,
missing data analysis, and adjustment for confounding factors. They are useful analytic tools …

A method of determining the winsorization threshold, with an application to domain estimation

CF Martinoz, D Haziza, JF Beaumont - Survey Methodology, 2015 - go.gale.com
In business surveys, it is not unusual to collect economic variables for which the distribution
is highly skewed. In this context, winsorization is often used to treat the problem of influential …

Robust semiparametric inference for polytomous logistic regression with complex survey design

E Castilla, A Ghosh, N Martin, L Pardo - Advances in Data Analysis and …, 2021 - Springer
Analyzing polytomous response from a complex survey scheme, like stratified or cluster
sampling is very crucial in several socio-economics applications. We present a class of …