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The Design of Incomplete Multinomial Samples: The Nested Case

 

作者: H.H. Oxspring,   L.R. LaMotte,  

 

期刊: Technometrics  （Taylor Available online 1977）
卷期: Volume 19, issue 1  

页码: 59-63

 

ISSN:0040-1706

 

年代: 1977

 

DOI:10.1080/00401706.1977.10489499

 

出版商: Taylor & Francis Group

 

关键词: Incomplete multinomial samples;Sample size allocation

 

数据来源: Taylor

 

摘要:

Multinomial samples may be fully or partially classified. In this paper, procedures for optimally determining sample size allocations between fully and partially classified data sets are described and illustrated. Expressions for the large-sample variances of the maximum likeli-hood estimators using both completely and partially classified data are given which reduce the design problems to convex programming problems.

 

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