Handling Missing Data in Ranked Set Sampling
The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some interviewees to give the true value for the variable of interest. Traditionally, simple random sampling i...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Bouza-Herrera, Carlos N. (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
|
Edición: | 1st ed. 2013. |
Colección: | SpringerBriefs in Statistics,
|
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Longitudinal Categorical Data Analysis
por: Sutradhar, Brajendra C.
Publicado: (2014) -
New Theory of Discriminant Analysis After R. Fisher Advanced Research by the Feature Selection Method for Microarray Data /
por: Shinmura, Shuichi
Publicado: (2016) -
Modeling Discrete Time-to-Event Data
por: Tutz, Gerhard, et al.
Publicado: (2016) -
Group-Sequential Clinical Trials with Multiple Co-Objectives
por: Hamasaki, Toshimitsu, et al.
Publicado: (2016) -
Estimation and Inferential Statistics
por: Sahu, Pradip Kumar, et al.
Publicado: (2015)