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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 19, 1987 - Issue 4
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Articles

Comparison of Poisson Means: The General Case

Pages 173-179 | Published online: 21 Feb 2018

References

  • Birnbaum, A. (1953). “Some procedures for comparing Poisson processes or populations.” Biometrika 40, pp. 447–449.
  • Jackson, J. E. (1972). “All Count Distributions Are Not Alike.” Journal of Quality Technology 4, pp. 86–92.
  • Johnson, N. L. and Kotz, S. (1969). Distributions in Statistics, Discrete Distributions. Houghton Mifflin Co., Boston, MA.
  • Dixon, W. J. and Massey, F. J., Jr. (1983). Introduction of Statistical Analysis, 4th ed. John Wiley & Sons, Inc. New York, NY.
  • Lee, Y. J. (1985). “Tests of Monotone Trend in K Poisson Means.” Journal of Quality Technology 17, pp. 44–49.
  • Nelson, L. S. (1981). “Confidence Belts for Small Percentages.” Journal of Quality Technology 13, pp. 215–217.
  • Nelson, L. S. (1983). “Transformations for Attribute Data.” Journal of Quality Technology 15, pp. 55–56.
  • Nelson, L. S. (1986a). “Is 3 Different from 10?” Journal of Quality Technology 18, pp. 74–75.
  • Nelson, L. S. (1986b). “Table for Testing the Difference between Two Poisson Variates.” Journal of Quality Technology 18, pp. 139–140.
  • Nelson, P. R. (1985). “Computation of Some Common Discrete Distributions.” Journal of Quality Technology 17, pp. 160–166.
  • Nelson, W. (1982). Applied Life Data Analysis. John Wiley & Sons, Inc. New York, NY.

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