Bibliographie
[1] A. Agresti and B. Caffo. Simple and effective confidence intervals for
proportions and differences of proportions result from adding two successes
and two failures. American Statistician, 54 :280–288, 2000.
[2] A. Agresti and B.A. Coull. Approximate is better than ‘exact’ for interval
estimation of binomial proportions. American Statistician, 52 :119–126,
1998.
[3] H. Akaike. Information theory and an extension of the maximum likelihood principle. In B.V. Petrov and F. Csaki, editors, 2nd International
Symposium on Information Theory, pages 267–281. Akademia Kiado, 1973.
[4] D.F. Andrews and A.M. Herzberg. Data - A Collection of Problems from
Many Fields for the Student and Research Worker. Springer, 1985.
[5] G.E.P. Box. Robustness in the strategy of scientific model building. In R.L.
Launer and G.N. Wilkinson, editors, Robustness in Statistics : Proceedings
of Workshop. Academic Press, 1979.
[6] K. Burnham and D.R. Anderson. Model Selection and Multimodel Inference : A Practical Information-Theoretic Approach. Springer, second
edition, 2004.
[7] C.R. Charig, D.R. Webb, S.R. Payne, and J.E.A. Wickham. Comparison of
treatment of renal calculi by open surgery, percutaneous nephrolithotomy,
and extracorporeal shockwave. British Medical Journal, 292 :879–882,
1986.
[8] G. Cocco, S. Pandolfi, and V. Rousson. Sufficient weight reduction decreases cardiovascular complications in diabetic patients with the metabolic syndrome. HeartDrug, 5 :68–74, 2005.
[9] J. Cohen. Statistical Power Analysis for the Behavioral Sciences. Lawrence
Erlbaum, second edition, 1988.
[10] P.A. Cornillon and E. Matzner-Lober. Régression - Théorie et applications.
Springer, 2007.
[11] M.J. Crawley. The R Book. Wiley, 2007.
[12] Y. Dodge and V. Rousson. Analyse de régression appliquée. Dunod, second
edition, 2004.
319
[1] A. Agresti and B. Caffo. Simple and effective confidence intervals for
proportions and differences of proportions result from adding two successes
and two failures. American Statistician, 54 :280–288, 2000.
[2] A. Agresti and B.A. Coull. Approximate is better than ‘exact’ for interval
estimation of binomial proportions. American Statistician, 52 :119–126,
1998.
[3] H. Akaike. Information theory and an extension of the maximum likelihood principle. In B.V. Petrov and F. Csaki, editors, 2nd International
Symposium on Information Theory, pages 267–281. Akademia Kiado, 1973.
[4] D.F. Andrews and A.M. Herzberg. Data - A Collection of Problems from
Many Fields for the Student and Research Worker. Springer, 1985.
[5] G.E.P. Box. Robustness in the strategy of scientific model building. In R.L.
Launer and G.N. Wilkinson, editors, Robustness in Statistics : Proceedings
of Workshop. Academic Press, 1979.
[6] K. Burnham and D.R. Anderson. Model Selection and Multimodel Inference : A Practical Information-Theoretic Approach. Springer, second
edition, 2004.
[7] C.R. Charig, D.R. Webb, S.R. Payne, and J.E.A. Wickham. Comparison of
treatment of renal calculi by open surgery, percutaneous nephrolithotomy,
and extracorporeal shockwave. British Medical Journal, 292 :879–882,
1986.
[8] G. Cocco, S. Pandolfi, and V. Rousson. Sufficient weight reduction decreases cardiovascular complications in diabetic patients with the metabolic syndrome. HeartDrug, 5 :68–74, 2005.
[9] J. Cohen. Statistical Power Analysis for the Behavioral Sciences. Lawrence
Erlbaum, second edition, 1988.
[10] P.A. Cornillon and E. Matzner-Lober. Régression - Théorie et applications.
Springer, 2007.
[11] M.J. Crawley. The R Book. Wiley, 2007.
[12] Y. Dodge and V. Rousson. Analyse de régression appliquée. Dunod, second
edition, 2004.
319