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An algorithm for a new method of change-point analysis in the independent Poisson sequence Cover

An algorithm for a new method of change-point analysis in the independent Poisson sequence

Open Access
|Jun 2017

References

  1. Hirotsu, C. (1982). Use of cumulative efficient scores for testing ordered alternatives in discrete models. Biometrika 69:567-577.
  2. Hirotsu, C. (2013). Theory and its application of the cumulative, two-way cumulative and doubly cumulative sum statistics. Jap. J. Appl. Statist. 42:121-143. (In Japanese)
  3. Hirotsu, C. and Marumo, K. (2002). Change point analysis as a method for isotonic inference. Scand. J. Statist. 29:125-138.
  4. Hirotsu, C., Yamamoto, S. and Tsuruta, H. (2016). A unifying approach to the shape and change-point hypotheses in the discrete univariate exponential family. Comput. Statist. Data Anal. 97:33-46.
  5. Worsley, K. J. (1986): Confidence regions and tests for a change-point in a sequence of exponential family of random variables. Biometrika 73:91-104.10.1093/biomet/73.1.91
DOI: https://doi.org/10.1515/bile-2017-0001 | Journal eISSN: 2199-577X | Journal ISSN: 1896-3811
Language: English
Page range: 1 - 24
Published on: Jun 13, 2017
Published by: Polish Biometric Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2017 Chihiro Hirotsu, Harukazu Tsuruta, published by Polish Biometric Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.