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NTIS 바로가기Journal of the American Statistical Association, v.52 no.280 = no.280, 1957년, pp.567 - 577
Silverstone, H.
In estimating the parameters of the logistic curve when the response at any given dose is binomial, the method of "maximum likelihood" and the method of "minimum logit chi-square" have both been suggested. Computational difficulties formerly associated with the maximum likelihood solution have now largely disappeared. In a comparison of the two methods it is shown that the maximum likelihood estimates, but not the minimum logit chi-square estimates, are sufficient estimators for the parameters. Particular attention is paid to samples where all but one of the responses are zero or 100 per cent. Also, the effects of using the "2
Biometrika Anscombe F. J. 461 43 1956
Berkson, Joseph. Maximum Likelihood and Minimumx2Estimates of the Logistic Function. Journal of the American Statistical Association, vol.50, no.269, 130-162.
Berkson, Joseph. Tables for the Maximum Likelihood Estimate of the Logistic Function. Biometrics, vol.13, no.1, 28-.
Theory of Games and Statistical Decisions Blackwell D. 1954
Finney, D. J. 1952. Probit Analysis, , 2nd edition, 248Cambridge University Press. See
Fisher, R. A. 1956. Statistical Methods and Scientific Inference , 144Edinburgh: Oliver and Boyd. See
Sankhya Kallianpur G. 331 15 1955
Kendall, M. G. 1946. The Advanced Theory of Statistics, , 1st edition, vol. 2, 19London: Griffin and Co. See
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