We present a unified large-sample theory of general chi-squared tests of fit under composite null hypotheses and Pitman alternatives. The sta- tistics are quadratic forms in the standardized cell frequencies, and we allow random cells, k-variate observations from not necessarily continuous distributions, and quite general estimates of unknown parameters. Gener- alizations of published results on a number of specific chi-squared tests follow.
CITATION STYLE
Moore, D. S., & Spruill, M. C. (2017). Unified Large-Sample Theory of General Chi-Squared Statistics for Tests of Fit. The Annals of Statistics, 3(3). https://doi.org/10.1214/aos/1176343125
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