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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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