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The Choice Of Cells In Chi–Square Tests

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  • J. Oosterhoff

Abstract

The choice of cells in chi–square goodness of fit tests is a classical problem. Some recent results in this area are discussed. It is shown that the likelihood ratio of alternatives w.r.t. null distributions plays a key role when judging different procedures. The discussion centers on the case of a simple hypothesis, but location–scale models and tests of independence in contingency tables are also considered.

Suggested Citation

  • J. Oosterhoff, 1985. "The Choice Of Cells In Chi–Square Tests," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 39(2), pages 115-128, June.
    • Handle: RePEc:bla:stanee:v:39:y:1985:i:2:p:115-128
    DOI: 10.1111/j.1467-9574.1985.tb01132.x
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    Cited by:

    1. Wolfgang Rolke & Cristian Gutierrez Gongora, 2021. "A chi-square goodness-of-fit test for continuous distributions against a known alternative," Computational Statistics, Springer, vol. 36(3), pages 1885-1900, September.

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