Calibration Estimators for Quantiles in Surveys with Non-response

• Autorzy: Marcin Szymkowiak
• Języki publikacji: EN

Abstrakty

EN

Proposes by author of this paper calibration estimator for quantiles assuming that auxiliary information is available at the level of the population and at the level of the sample and that the survey is affected by item non-response.

Słowa kluczowe

EN

Estimators; Monte Carlo method; Data analysis

PL

Estymatory; Metoda Monte Carlo; Analiza danych

• Czasopismo: Prace Naukowe / Akademia Ekonomiczna w Katowicach
• Rocznik: 2009
• Tom: Survey Sampling in Economic and Social Research
• Strony: 60--75

Twórcy

autor

Marcin Szymkowiak

• Poznań University of Economics, Poland

Bibliografia

• Deville J-C., Sarndal C-E. (1992): Calibration Estimators in Survey Sampling. "Journal of the American Statistical Association", Vol. 87, pp. 376-382.
• Estevao V.M., Särndal C-E. (2006): Survey Estimates by Calibration on Complex Auxiliary Information. "International Statistical Review", Vol. 74, pp. 127-147.
• Harms Т., Duchesne P. (2006): On Calibration Estimation for Quantiles. "Survey Methodology" June, Vol. 32, pp. 37-52.
• Ren R. (2002): Estimation de la function de repartition et des fractiles d'une population finie. "Actes des journees de methodologie statistique. INSEE Methodes", Tome 1, No. 100, pp. 263-289.
• Särndal C-E., Lundström S. (2005): Estimation in Surveys with Nonresponse. Wiley, New York.
• Särndal C-E. (2007): The Calibration Approach in Survey Theory and Practice. "Survey Methodology", Vol. 33, No. 2, pp. 99-119.