Visualization of mean estimators using auxiliary information in survey sampling
Priam, Rodolphe
HAL, hal-01913079 / Harvested from HAL
Text on HAL
In this communication, it is proposed a generalized method for modeling mean estimators. The mean estimators depend on multiple auxiliary variates and unknown parameters in a finite population setting. Our approach brings naturally a graphical analysis for comparing and improving mean estimators.
Publié le : 2019-05-06
Classification:  auxiliary variable,  ratio estimator,  mean squared error,  bias,  [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] 
@article{hal-01913079,
     author = {Priam, Rodolphe},
     title = {Visualization of mean estimators using auxiliary information in survey sampling},
     journal = {HAL},
     volume = {2019},
     number = {0},
     year = {2019},
     language = {en},
     url = {http://dml.mathdoc.fr/item/hal-01913079}
}

Priam, Rodolphe. Visualization of mean estimators using auxiliary information in survey sampling. HAL, Tome 2019 (2019) no. 0, . http://gdmltest.u-ga.fr/item/hal-01913079/