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Abstract

Many large scale surveys have designs that are complex, incorporating stratification and perhaps more than one stage of selection. Data from these surveys are used for a considerable amount of analysis, involving the computation of statistics ranging from simple totals and means, to those required for the comparison of domains, linear and logistic regression analysis and contingency table analysis. These analyses are usually done using computer software which does not take the design into account. This paper focuses on the development and use of computer programs which take the design into account for such analyses.

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© 1987 D. Reidel Publishing Company, Dordrecht, Holland

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Hidiroglou, M.A., Paton, D.G. (1987). Some Experiences in Computing Estimates and Their Variances Using Data from Complex Survey Designs. In: MacNeill, I.B., Umphrey, G.J., Bellhouse, D.R., Kulperger, R.J. (eds) Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory. The University of Western Ontario Series in Philosophy of Science, vol 34. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4786-3_20

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  • DOI: https://doi.org/10.1007/978-94-009-4786-3_20

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8622-6

  • Online ISBN: 978-94-009-4786-3

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