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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 22, 1990 - Issue 4
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Articles

Accurate Estimation of Count Totals Using Ratio Estimators

Pages 277-282 | Published online: 21 Feb 2018

References

  • Carlson, R. and Mullenix, P. (1980). “Tables for the Expected Value and Variance of the Ratio of Two Correlated Normal Variables,” unpublished technical report, University of Missouri-Kansas City, Kansas City, MO.
  • Cochran, W. G. (1977), Sampling Techniques, 3rd ed. John Wiley & Sons, New York, NY.
  • Fieller, E. C. (1932). “The Distribution of the Index in a Normal Bivariate Population.” Biometrika 24, pp. 428–440.
  • Geary, R. C. (1930). “The Frequency Distribution of the Quotient of Two Normal Variables.” Journal of the Royal Statistical Society 93, pp. 442–446.
  • Hastings, C., Jr. (1955). Approximations for Digital Computers. Princeton University Press, Princeton, NJ.
  • Hayya, J. C.; Armstrong, D.; and Gressis, N. (1974). “A Note on the Ratio of Two Normally Distributed Variables.” Management Science 21, pp. 1338–1341.
  • Hinkley, D. V. (1969). “On the Ratio of Two Correlated Normal Random Variables,” Biometrika 56, pp. 635–639.
  • Marsaglia, G. (1965). “Ratios of Normal Variables and Ratios of Sums of Uniform Variables.” Journal of the American Statistical Association 60, pp. 193–204.
  • Merrill, A. S. (1928). “Frequency Distribution of an Index when Both of the Components Follow the Normal Law,” Biometrika 20A, pp. 53–63.
  • Stroud, A. H. and Secrest, D. (1966). Gaussian Quadrature Formulas. Prentice-Hall, Englewood Cliffs, NJ.

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