Results 261 to 270 of about 2,911,013 (294)

Non-probability Sampling

The Canadian nurse, 2014
M. El-Masri
openaire   +2 more sources

Hummingbird: Dynamic Path Validation With Hidden Equal-Probability Sampling

IEEE Transactions on Information Forensics and Security, 2023
Path validation has already been incrementally deployed in the Internet architecture. It secures packet forwarding by enabling end hosts to negotiate specific forwarding paths and enforcing on-path routers to prove their forwarding behaviors along these ...
Anxiao He, Xiang Li, Jiandong Fu, Haoyu. Hu, Kai Bu, Chenlu Miao, Kui Ren   +6 more
semanticscholar   +1 more source

The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health

Transgender Health, 2022
Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population.
J. Turban, A. Almazan, S. Reisner, A. Keuroghlian   +3 more
semanticscholar   +1 more source

Non-Probability Sampling

2005
Alison Galloway
openaire   +2 more sources

Non-probability Sampling Survey Methods

International Encyclopedia of Statistical Science, 2011
H. O. Ayhan
openaire   +2 more sources

Model-assisted SCAD calibration for non-probability samples

Brazilian Journal of Probability and Statistics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Zhan, Tu, Chaofeng, Pan, Yingli
openaire   +1 more source

Non-probability Survey Samples

2020
We provide an overview of the emerging topic of non-probability survey samples which has drawn increased attention in the fields of survey methodology and official statistics. We highlight some of the issues in analyzing non-probability survey samples and present some of the methodological advances that have appeared in recent years.
Changbao Wu, Mary E. Thompson
openaire   +1 more source

Tracing Selection Effects in Three Non-Probability Samples

European Addiction Research, 2005
Snowball sampling and targeted sampling are widely applied techniques to recruit samples from hidden populations, such as problematic drug users. The disadvantage is that they yield non-probability samples which cannot be generalised to the population. Despite thorough preparatory mapping procedures, selection effects continue to occur.
Cas, Barendregt, Agnes, van der Poel, Dike, van de Mheen   +2 more
openaire   +2 more sources

Access and Non-probability Sampling in Qualitative Research on Trust

2011
F. Lyon
openaire   +2 more sources

Uncertainty in Sampling Designs for Non-probability Samples

Non-probability samples involve some form of arbitrary selection of units into the sample, and, as a matter of fact, inclusion probabilities are unknown. Hence, it is not possible to apply probability randomization theory to make inference about the finite population parameters.
Pier Luigi Conti, Daniela Marella
openaire   +2 more sources