Some Comparisons of Methods of Fitting the Dosage Response Curve for Small Samples
作者:
ElliotM. Cramer,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1964)
卷期:
Volume 59,
issue 307
页码: 779-793
ISSN:0162-1459
年代: 1964
DOI:10.1080/01621459.1964.10480727
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
In recent years there has been much discussion of the relative merits of several methods of fitting the normal integral dosage response curve. For a three-dose experiment with ten observations at each dose and for a five-dose experiment with four observations, three methods are compared with respect to their root mean square error in estimatingm, σ, and β. Essentially the total population of samples is used. The main result is that the maximum likelihood method is superior to the minimum normit method in estimatingmand σ, but for β the minimum normit method is superior.
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