Minimum distance estimators of population size from snowball samples using conditional estimation and scaling of exponential random graph models
type: Item
instance of: scholarly article
title: Minimum distance estimators of population size from snowball samples using conditional estimation and scaling of exponential random graph models
zbMATH Open document ID: 1466.62186
author: David A. Rolls
author: Garry Robins
published in: Computational Statistics and Data Analysis
publication date: 2018-08-14T00:00:00Z
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 6917796
zbMATH Keywords: network sampling
zbMATH Keywords: hidden population sampling
zbMATH Keywords: network size
zbMATH Keywords: link-tracing designs
zbMATH Keywords: social networks
zbMATH Keywords: hard-to-reach populations
describes a project that uses: Matlab
describes a project that uses: PNet
MaRDI profile type: Publication
Wikidata QID: Q59200160
full work available at URL: j.csda.2017.07.004
OpenAlex ID: W2736628723
cites work: Q3267900
cites work: Markov Graphs
cites work: Finite mixture and Markov switching models.
cites work: Random Graphs
cites work: Modeling social networks from sampled data
cites work: Estimating hidden population size using respondent-driven sampling data
cites work: Adjusting for network size and composition effects in exponential-family random graph models
cites work: On the question of effective sample size in network modeling: an asymptotic inquiry
cites work: Conditional estimation of exponential random graph models from snowball sampling designs
cites work: On the geometry of discrete exponential families with application to exponential random graph models
cites work: Consistency under sampling of exponential random graph models
cites work: Statistical analysis of finite mixture distributions
DOI: 10.1016/J.CSDA.2017.07.004
description: scientific article; zbMATH DE number 6917796