General chi-square goodness-of-fit tests with data-dependent cells
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[1] K. Pearson. On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling , 1900 .
[2] R. Fisher. 019: On the Interpretation of x2 from Contingency Tables, and the Calculation of P. , 1922 .
[3] R. Fisher,et al. On the Mathematical Foundations of Theoretical Statistics , 1922 .
[4] H. Chernoff,et al. The Use of Maximum Likelihood Estimates in {\chi^2} Tests for Goodness of Fit , 1954 .
[5] H. Chernoff. LARGE-SAMPLE THEORY: PARAMETRIC CASE' , 1956 .
[6] G. S. Watson,et al. THE X2 GOODNESS-OF-FIT TEST FOR NORMAL DISTRIBUTIONS , 1957 .
[7] G. S. Watson,et al. On Chi‐Square Goodness‐Of‐Fit Tests for Continuous Distributions , 1958 .
[8] Geoffrey Stuart Watson,et al. Some Recent Results in Chi-Square Goodness-of-Fit Tests , 1959 .
[9] M. W. Birch. A New Proof of the Pearson-Fisher Theorem , 1964 .
[10] Calyampudi Radhakrishna Rao,et al. Linear Statistical Inference and its Applications , 1967 .
[11] P. Billingsley,et al. Convergence of Probability Measures , 1969 .
[12] L. Lecam. On the Assumptions Used to Prove Asymptotic Normality of Maximum Likelihood Estimates , 1970 .
[13] M. J. Wichura. ON THE CONSTRUCTION OF ALMOST UNIFORMLY CONVERGENT RANDOM VARIABLES WITH GIVEN WEAKLY CONVERGENT IMAGE LAWS , 1970 .
[14] D. M. Chibisov. Certain Chi-Square Type Tests for Continuous Distributions , 1971 .
[15] D. S. Moore,et al. A CHI-SQUARE STATISTIC WITH RANDOM CELL BOUNDARIES' , 1971 .
[16] I. Csiszár. $I$-Divergence Geometry of Probability Distributions and Minimization Problems , 1975 .
[17] Mikhail Nikulin,et al. On a Modification of the Standard Statistics of Pearson , 1975 .
[18] David S. Moore,et al. Unified Large-Sample Theory of General Chi-Squared Statistics for Tests of Fit , 1975 .
[19] R. Dudley. Central Limit Theorems for Empirical Measures , 1978 .
[20] David Pollard,et al. The minimum distance method of testing , 1980 .