(Very) Selected Bibliography

Azzalini, A.(1996). Statistical Inference: Based on the Likelihood. Chapman & Hall, London.

Barndorff-Nielsen, O.E. and Cox, D.R. (1989). Asymptotic Techniques for Use in Statistics. Chapman & Hall, London.

Barndorff-Nielsen, O.E. and Cox, D.R. (1994). Inference and Asymptotics. Chapman & Hall, London.

Davison, A.C. and Hinkley, D.V. (1997). Bootstrap Methods and Their Application. Cambridge University Press, Cambridge.

Edwards, A.W.F. (1972). Likelihood. Cambridge University Press, Cambridge.

Field, C. and Ronchetti, E. (1990). Small Sample Asymptotics. IMS lecture notes – monograph series 13, IMS, Hayward.

Hall, P.G. (1992). The Bootstrap and Edgeworth Expansion. Lecture notes in statistics, Springer-Verlag, New York.

Jensen, J.L. (1995). Saddlepoint Approximations. Oxford University Press, Oxford.

Kalbfleisch, J.D.(1985). Probability and Statistical Inference. Vol.1: Probability. Vol.2: Statistical Inference. Springer-Verlag, New York.

Kolassa, J.E. (1994). Series Approximation Methods in Statistics. Lecture notes in statistics 88, Springer-Verlag, New York.

Lindsey, J.K.(1996). Parametric Statistical Inference. Oxford UniversityPress, Oxford.

McCullagh, P. (1987). Tensor Methods in Statistics. Chapman & Hall, London.

Pace, L. and Salvan, A. (1997). Principles of Statistical Inference. World Scientific, Singapore.

Pawitan, Y. (2001). All Likelihood: Statistical Modelling and Inference using Likelihood. Oxford University Press, Oxford.

Royall, R.M. (1999). Statistical evidence: a likelihood paradigm. Chapman & Hall, London.

Severini, T.A. (2000). Likelihood Methods in Statistics. Oxford University Press, Oxford.

Sprott, D.(2000). Statistical Inference in Science. Springer Series in Statistics.

Reid, N. (2002). Asymptotics and the theory of inference. Based on Wald Lectures.

Skovgaard, I.M. (2001). Likelihood asymptotics. Scand. J. Statist., 28, 3-32.