Some computational aspects of the generalized von Mises distribution

Author:

Gatto Riccardo

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Reference22 articles.

1. Abramowitz, M., Stegun, I.E.: Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 9th edn. Dover, New York (1972), originally published by the National Bureau of Standards, USA, 10th edn.

2. Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Petrov, B.N., Csaki, F. (eds.) Second International Symposium on Information Theory, pp. 267–281. Akademiai Kiado, Budapest (1973)

3. Best, D.J., Fisher, N.I.: The bias of the maximum likelihood estimators of the von Mises-Fisher concentration parameters. Commun. Stat. B, Simul. Comput. 10, 493–502 (1981)

4. Cheng, R.C.H., Amin, N.A.K.: Estimating parameters in continuous univariate distributions with shifted origin. J. R. Stat. Soc. B 54, 394–403 (1983)

5. Cheng, R.C.H., Iles, T.C.: Corrected maximum likelihood in non-regular problems. J. R. Stat. Soc. B 49, 95–101 (1987)

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