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References:
[1] M. W. Birch: A new proof of the Pearson-Fisher theorem. Ann. Math. Statist. 35 (1964), 817-824. MR 0169324 | Zbl 0259.62017
[2] J. Burbea, C. R. Rao: On the convexity of some divergence measures based on entropy functions. IEEE Trans. Inform. Theory 28 (1982), 489-495. MR 0672884 | Zbl 0479.94009
[3] D. G. Dannenbring: Procedures for estimating optimal solution values for large combinatorial problems. Management Sci. 23 (1977), 1273-1283. Zbl 0377.90051
[4] J. C. Fryer, C. A. Robertson: A comparison of some methods for estimating mixed normal distributions. Biometrika 59 (1972), 639-648. MR 0339387 | Zbl 0255.62033
[5] J. Kiefer, J. Wolfowitz: Consistency of the ML estimator in the presence of infinitely many incidental parameters. Ann. Math. Statist. 27 (1956), 887-906. MR 0086464
[6] S. Kullback, R. Leibler: On information and sufficiency. Ann. Math. Statist. 22 (1951), 79-86. MR 0039968 | Zbl 0042.38403
[7] D. Morales L. Pardo, I. Vajda: Asymptotic divergence of estimates of discrete distributions. J. Statist. Plann. Inference 48 (1955), 347-369. MR 1368984
[8] M. C. Pardo, I. Vajda: About distances of discrete distributions satisfying the data processing theorem on information theory. IEEE Trans. Inform. Theory 43 (1997), 4, 1288-1293. MR 1454961
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