Zobrazeno 1 - 10
of 40
pro vyhledávání: '"I. Sánchez-Borrego"'
Publikováno v:
Mathematics
Volume 8
Issue 8
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Mathematics, Vol 8, Iss 1315, p 1315 (2020)
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Volume 8
Issue 8
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Mathematics, Vol 8, Iss 1315, p 1315 (2020)
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Respondent-driven sampling (RDS) is a snowball-type sampling method used to survey hidden populations, that is, those that lack a sampling frame. In this work, we consider the problem of regression modeling and association for continuous RDS data. We
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Digibug. Repositorio Institucional de la Universidad de Granada
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Sustainability, Vol 12, Iss 9102, p 9102 (2020)
Sustainability
Volume 12
Issue 21
instname
Digibug. Repositorio Institucional de la Universidad de Granada
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Sustainability, Vol 12, Iss 9102, p 9102 (2020)
Sustainability
Volume 12
Issue 21
In this work, we consider the problem of surveying a population of young Indigenous, Montubios and Afro-Ecuadorians to study their living conditions and socioeconomic issues. We conducted a Respondent-driven sampling (RDS) survey in the canton of Rio
Publikováno v:
Journal of the American Statistical Association. 111:822-833
Fine stratification is commonly used to control the distribution of a sample from a finite population and to improve the precision of resulting estimators. One-per-stratum designs represent the finest possible stratification and occur in practice, bu
Publikováno v:
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Universidad de Granada (UGR)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
A sample selected from a single sampling frame may not represent adequatly the entire population. Multiple frame surveys are becoming increasingly used and popular among statistical agencies and private organizations, in particular in situations wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e03fd4bcd6a84788c270ce66e66b5bc3
http://hdl.handle.net/10481/68525
http://hdl.handle.net/10481/68525
Publikováno v:
Revista Matemática Complutense. 27:685-700
We consider the problem of finite population mean estimation with mixed data types. A model-assisted estimator based on nonparametric regression is proposed, which can handle discrete and continuous data and incorporates the sampling design in a natu
Publikováno v:
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Universidad de Granada (UGR)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
The complete shape of an active fold in the western margin of the South Caspian Basin is established with a seismic section from a post-stacked cube migrated in depth. The structure is an open anticline, which deforms a thick sequence (more than 7 km
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d1193826c28c32568f67b87760c6906
https://doi.org/10.1007/s11004-016-9650-1
https://doi.org/10.1007/s11004-016-9650-1
Publikováno v:
Quality & Quantity. 47:1781-1792
The most common form of data for socio-economic studies comes from survey sampling. Often the designs of such surveys are complex and use stratification as a method for selecting sample units. A parametric regression model is widely employed for the
Publikováno v:
International Journal of Computer Mathematics. 88:1565-1572
Recently, the estimation of a population quantile has received quite attention. Existing quantile estimators generally assume that values of an auxiliary variable are known for the entire population, and most of them are defined under simple random s
Publikováno v:
Quality & Quantity. 46:1197-1208
Standard jackknife confidence intervals for a quantile Q y (β) are usually preferred to confidence intervals based on analytical variance estimators due to their operational simplicity. However, the standard jackknife confidence intervals can give u
Publikováno v:
Computational Statistics & Data Analysis. 55:838-851
The estimation of quantiles in the presence of auxiliary information is discussed. Calibration and poststratification techniques provide simple and practical procedures for incorporating auxiliary information into the estimation of distribution funct