Estimation of Domain Means on the Basis of Strategy Dependent on Depth Function of Auxiliary Variables' Distribution

• Autorzy: Janusz L. Wywiał
• Języki publikacji: EN

Abstrakty

EN

The paper deals with the problem of estimation of a domain means in a finite and fixed population. We assume that observations of amultidimensional auxiliary variable are known in the population. The proposed estimation strategy consists of the well known Horvitz-Thompson estimator and the non-simple sampling design dependent on a synthetic auxiliary variable whose observations are equal to the values ofa depth function of the auxiliary variable distribution. The well known spherical and Mahalanobis depth functions are considered. A sampling design is proportionate to the maximal order statistic determined on the basis of the synthetic auxiliary variable observations in a simple sample drawn without replacement. A computer simulation analysis leads to the conclusion that the proposed estimation strategy is more accurate for domain means than the well known simple sample means. (original abstract)

Słowa kluczowe

EN

Estimators; Estimation; Selection of test methods; Small area estimates

PL

Estymatory; Estymacja; Dobór próby badawczej; Statystyka małych obszarów

• Czasopismo: Statistics in Transition
• Rocznik: 2011
• Tom: 12
• Numer: nr 1
• Strony: 127--138

Twórcy

autor

Janusz L. Wywiał

• University of Economics in Katowice, Poland

Bibliografia

• HORVITZD.G., THOMPSON D. J. (1952). A generalization of sampling without replacement from finite universe. Journal of the American Statistical Association, vol. 47, 663-685.
• LIU R.Y., PARELIUS J.M., SINGH K. (1999). Multivariate analysis by data depth: Descriptive statistics, graphics and inference. The Annals of' Statistics, vol. 27, No. 3, 783-858.
• MAHALANOBIS P. C. (1936). On the generalized distance in statistics. Proc. Nat. Acad. Sci. India vol. 12, 49-55.
• Tille Y. (2006). Sampling Algorithms. Springer.
• WYWIAŁ J. L. (2007). Simulation analysis of accuracy estimation of population mean on the basis of strategy dependent on sampling design proportionate to the order statistic of an auxiliary variable. Statistics in Transition-new series vol. 8, No. 1, 125-137.
• WYWIAŁ J. L. (2008). Sampling design proportional to order statistic of auxiliary variable. Statistical Papers, vol. 49, No. 2/April, 277- 289.
• WYWIAŁ J. L. (2009). Sampling design proportional to positive function of order statistics of auxiliary variable. Studia Ekonomiczne-Zeszyty Naukowe, 2009, 53,35-60.