Prior value incorporated calibration estimator in stratified random sampling
In this paper, we discuss the calibration estimator for estimating population characteristics that uses prior values and an auxiliary variable. We assume an infinite population and unknown underlying distribution for the objective variable. Simulation studies are conducted to investigate the efficiency of the proposed estimator. Finally a numerical example is presented.
Volume (Year): 83 (2013)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Sarjinder Singh, 2012. "On the calibration of design weights using a displacement function," Metrika, Springer, vol. 75(1), pages 85-107, January.
- Kim, Jong-Min & Sungur, Engin A. & Heo, Tae-Young, 2007. "Calibration approach estimators in stratified sampling," Statistics & Probability Letters, Elsevier, vol. 77(1), pages 99-103, January.
- Takashi Yanagawa, 1975. "Stratified random sampling; gain in precision due to stratification in the case of proportional allocation," Annals of the Institute of Statistical Mathematics, Springer, vol. 27(1), pages 33-44, December.
- Stearns, Matthew & Singh, Sarjinder, 2008. "On the estimation of the general parameter," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4253-4271, May.
When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:83:y:2013:i:1:p:46-51. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.