Paper Info
Title
Horvitz-Thompson Estimator Under Partial Information With An Application To Network Degree Distribution
Abstract
We present an extension of the Horvitz-Thompson estimator for estimating the total number of sets of a given size within a population. We study the limitations of the Horvitz-Thompson under partial information where we have a sample of population elements rather than of sets. The developed estimator is the chained Horvitz-Thompson. We apply this estimator to the estimate the network degree distribution to be used under probability sampling designs, in particular, induced subgraph and incident subgraph. Finally, we present Monte Carlo simulations to assess the accuracy of the proposed estimator.
Year
DOI
Venue
2021
10.1080/03610918.2018.1554117
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
DocType
Volume
Horvitz-Thompson estimator, Networks, Network sampling designs, Degree distribution, Average degree
Journal
50
Issue
ISSN
Citations 
2
0361-0918
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Alejandro Izaguirre100.34
Gabriel Montes-Rojas200.34