Nonlinear regression analysis for complex surveys 1 |
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Authors: | Hsien-Ming Hung |
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Institution: | Statistical Evaluation and Research Branch , Division of Biometrics, Food and Drug Administration , 5600 Fishers Lane, Rockville, Maryland, 20857 |
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Abstract: | In a clustered finite population, it is assumed that a given function depending on an unknown parameter may be adopted to reveal the relationship among the variables of interest. The finite population parameter corresponding to this unknown parameter is defined as a solution of an estimating equation defined by a properly chosen population loss function. An estimation procedure that takes sample weights into account is considered. Use of this function in estimating the population mean per cluster is discussed. Large sample properties of estimators are investigated. |
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Keywords: | infinite superpopulation stratified cluster sampling consistency asymptotic normality |
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