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Variance estimation using list sequential scheme for unequal probability sampling

Berger, Yves G. (1998) Variance estimation using list sequential scheme for unequal probability sampling Journal of Official Statistics, 14, (3), pp. 315-323.

Record type: Article


The problem of variance estimation is discussed in the light of the list sequential scheme proposed by Chao (1982), in which units are selected without replacement and with unequal probabilities. The variance is hard to estimate as it requires a large number of second-order inclusion probabilities. We prove that it is unnecessary to compute all these probabilities. We show that variance estimation needs only N numbers, where N is the population size.

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Published date: September 1998
Keywords: variance estimation, sampling without replacement, horvitz-thompson estimator, yates-grundy estimator, inclusion probabilities, probability proportional-to-size sampling


Local EPrints ID: 34115
ISSN: 0282-423X
PURE UUID: 12ad484f-885c-4616-b088-0e541bfea5f5

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Date deposited: 19 Dec 2007
Last modified: 17 Jul 2017 15:51

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