Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zeinab Mashreghi"'
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 4, Pp 1045-1056 (2024)
In Canada, Gonorrhea infection ranks as the second most prevalent sexually transmitted infection. In 2018, Manitoba reported an incidence rate three times greater than the national average. This study aims to investigate the spatial, temporal, and sp
Externí odkaz:
https://doaj.org/article/7dfdf9cb79704a488c4dd70b949639b4
Publikováno v:
Stats, Vol 5, Iss 2, Pp 521-537 (2022)
Multi-stage sampling designs are often used in household surveys because a sampling frame of elements may not be available or for cost considerations when data collection involves face-to-face interviews. In this context, variance estimation is a com
Externí odkaz:
https://doaj.org/article/14b41530a3864dd5819eb8783221c1a1
Autor:
Zeinab Mashreghi, Huiqi Deng
Publikováno v:
Journal of Survey Statistics and Methodology. 11:234-259
Imputation is usually used to deal with item nonresponse in surveys. Treating the imputed values as true observations may obviously lead to serious underestimation of the variance of point estimators. In this article, we propose a new bootstrap metho
Publikováno v:
J Surv Stat Methodol
Item nonresponse in surveys is usually dealt with through single imputation. It is well known that treating the imputed values as if they were observed values may lead to serious underestimation of the variance of point estimators. In this article, w
Autor:
Mahdi Esmaeili, Zeinab Mashreghi
Publikováno v:
International Journal of Computer Applications. 159:38-46
Publikováno v:
Canadian Journal of Statistics. 42:142-167
Item non-response in sample surveys is usually addressed by imputation. A bootstrap method that treats the imputed values as if they were observed generally leads to variance estimates that are too small. Shao & Sitter (1996) introduced a bootstrap m
Publikováno v:
Statist. Surv. 10 (2016), 1-52
We review bootstrap methods in the context of survey data where the effect of the sampling design on the variability of estimators has to be taken into account. We present the methods in a unified way by classifying them in three classes: pseudo-popu