參考文獻 |
1. Anderson, T. W. and Darling, D. A. (1952). Asymptotic theory of certain goodness-of-fit criteria based on stochastic processes. Annals of Mathematical Statistics, 23, 193-212.
2. Bain, L. J. and Engelhardt, M. (1980). Probability of correct selection of Weibull versus gamma based on likelihood ratio. Communications in Statistics-Theory and Method, 9, 375-381.
3. Brynjarsdóttir, J. and Stefánsson, G. (2004). Analysis of cod catch data from Icelandic groundfish suveys using generalized linear model. Fisheries Research, 70, 195-208.
4. Cramér, H. (1928). On the composition of elementary errors, Scandinavian Actuarial Journal, 11, 13-74 and 141-180.
5. D’Agostino, R. B. and Stephens, M. A. (1986). Goodness-of-Fit Techniques. Marcel Dekker, New York.
6. Gupta, R. D., Kundu, D. and Manglick, A. (2002). Probability of correct selection of gamma versus GE or Weibull versus GE models based on likelihood ratio test. Recent Advances in Statistical Methods (Editor: Chaubey, Y. P.), Publisher World Scientific Publishing Company Inc., London, 147-156.
7. Hardin, J. W. and Hilbe, J. M. (2012). Generalized Linear Models and Extensions, Third Edition, Stata Press, Texas.
8. Kolmogorov, A. (1933). Sulla determinazione empirica di una legge di distribuzione, Giornalle dell′Instituto Italiano degli Attuari, 4, 83-91.
9. Kuiper, N. H. (1960). Tests concerning random points on a circle. Proceedings of the Koninklijke Nederlandse Akademie van Wetenschappen, 63, 38-47
10. Krishnamoorthy, K. and Mathew, T. (2003). Inferences on the means of lognormal distributions using generalized p-values and generalized confidence intervals. Journal of Statistical Planning and Inference, 115, 103-121.
11. Lawless, J. F. (2003). Statistical Models and Methods for Lifetime Data, Second Edition, John Wiley, New York.
12. Lewis, P. A. W. (1961). Distribution of the Anderson-Darling statistic. Annals of Mathematical Statistics, 32, 1118-1124.
13. Myers, R. H., Montgomery, D. C., Vining, G. G., and Robinson, T. J. (2010). Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition, John Wiley, New York.
14. McCullagh, P. (1983). Quasi-likelihood functions. Annals of Statistics, 11, 59-67.
15. von Mises, R. (1931). Wahrscheinlichkeitsrechnung und ihre Anwendungen in der Statistik und der theoretischen Physik, Leipzig und Wien.
16. Nelder, J. and Wedderburn, R. (1972). Generalized linear models. Journal of the Royal Statistical Society, Series A, 135, 370-384.
17. Nelson, W. (1990). Accelerated testing: Statistical Models, Test Plants, and Data Analysis, John Wiley, New York.
18. Royall, R. M. and Tsou, T. S. (2003). Interpreting statistical evidence using imperfect models: robust adjusted likelihood functions. Journal of the Royal Statistical Society, Series B, 65, 391-404.
19. Smirnov, N. V. (1939). On the estimation of the discrepancy between empirical curves of distribution for two independent samples. Bulletin Mathematique de I′Universite de Moscou, 2, 3-14.
20. Stephens, M. A. (1974). EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69, 730-737.
21. Tsou, T. S. (2007). A simple and exploratory way to determine the mean-variance relationship in generalized linear models. Statistics in Medicine, 26, 1623-1631.
22. van der Vaart, A. W. (2000). Asymptotic Statistics, Cambridge University Press, Cambridge.
23. Watson, G. S. (1961). Goodness-of-fit tests on a circle. Biometrika. 48, 109-114
|