Bootstrap-based parameter estimation for networked hard-to-reach populations under respondent-driven sampling

Hard-to-reach populations present a methodological challenge in obtaining samples and in drawing inference about population characteristics from the samples obtained. Such challenge follows from the undefined population size and boundaries and the involvement of stigmatized or illegal behavior in on...

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Bibliographic Details

Main Author:	Bilon, Xavier Javines (Author)
Resource Type:	Book
Language:	English
Published:	Quezon City University of the Philippines Diliman 2022
Subjects:	Computer bootstrapping. Monte Carlo method. Social networks. Respondent-driven sampling.