References
- 김대수, '신경망 이론과 응용 (I),(II),' 하이테크정보, 1994
- P.J. Bickel and K.A. Doksum, 'Mathematical Statistics : Basic ideas and selected topics,' SanFrancisco : HoldenDay, 1977
- R. Chattamvelli, 'On the doubly non-central F distribution,' Computational Statistics and Data Analysis, Vol.20, pp.481-489, 1995 https://doi.org/10.1016/0167-9473(94)00054-M
- B. Cheng and D.M. Titterington, 'Neural Networks : A review from a statistical perspective,' Statistical Science, Vol.9, pp.2-54, 1994 https://doi.org/10.1214/ss/1177010638
- R.A. Fisher, 'The general sampling distribution of the multiple correlation coefficient,' Proceedings of the Royal Society of London, Series A, Vol.1, pp.654-673, 1928
- J.N. Hwang and H. Li. M. Maechler and D. Martin and J. Schimert, 'Regression modeling in backpropaga-tion and projection pursuit learning,' IEEE transactions on neural networks, Vol.5, pp.342-353, 1994 https://doi.org/10.1109/72.286906
- L.K. Jones, 'A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training,' The Annals of Statistics, Vol.20, pp.608-613, 1992 https://doi.org/10.1214/aos/1176348546
- H. John and K. Anders and G.P. Richard, 'Introduction to the Theory Neural Computation,' Addison Wesley Publishing Co. Inc, 1991
-
N.L. Johnson, 'On an extension of the connexion between the Poisson and
${\chi}^2$ distributions,' Biometrika, Vol.46, pp.352-363, 1993 https://doi.org/10.2307/2333532 - N.L. Johnson and S. Kotz, 'Continuous Univariate Distributions,' Boston : Houghton Mifflin, 1970
-
P.B. Patnaik, 'The noncentral
${\chi}^2$ and F-distributions and their applications,' Biometrika, Vol.36, pp.202-232, 1949 https://doi.org/10.2307/2332542 - R. Price, 'Some noncentral F-distributions expressed in closed form,' Biometrika, Vol.51, pp.107-122, 1964 https://doi.org/10.2307/2334200
- D.E. Rumelhart and E.H. Geoffrey and J.W. Ronald, 'Learning representations by backpropagating errors,' Nature, Vol.323, pp.533-536, 1986 https://doi.org/10.1038/323533a0
- G.A.F. Seber, 'The noncentral chi-squared and beta distributions,' Biometrika, Vol.50, pp.542-544, 1963 https://doi.org/10.2307/2333927
- M. Sibuya, 'On the noncentral beta distribution function,' Unpublished manuscript, 1967
- M. Simth, 'Neural Networks for Statistical Modeling,' New York : Van Nostrand Reinhold
- D.F. Specht, 'A general regression neural network,' IEEE transactions on neural networks, Vol.2, pp.568-576, 1991 https://doi.org/10.1109/72.97934
- P.C. Tang, 'The power function of the analysis of variance tests with tables and illustrations of their use,' Statistical Research Memoirs, Vol.2, pp.126-150, 1938
- M.L. Tiku, 'A note on approximating to the noncentral F-distribution,' Biometrika, Vol.53, pp.606-610, 1975
- H. White, 'Learning in artificial net-works : A Statistical perspective,' Neural Computation, Vol.1(4), pp.425-469, 1989 https://doi.org/10.1162/neco.1989.1.4.425
- H. White, 'Connectionist nonpara-metric regression : multilayer feed-forward networks can learn arbitrary mappings,' Neural Networks, Vol.3, pp.535-549, 1990 https://doi.org/10.1016/0893-6080(90)90004-5
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