[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