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Estimation in one–way classification with heteroscedastic error

 

作者: Kalyan Das,  

 

期刊: Statistics  (Taylor Available online 1987)
卷期: Volume 18, issue 2  

页码: 247-257

 

ISSN:0233-1888

 

年代: 1987

 

DOI:10.1080/02331888708802014

 

出版商: Akademie-Verlag

 

关键词: One–way classification;Heteroscedasticity;BAN estimate;Primary 62F10;Secondary 62F12

 

数据来源: Taylor

 

摘要:

For an unbalanced one way calssification under the random effect model the problem of estimation of the fixed effect parameter and the variance is considered. Tje error variance which are funtionally related to the above set of parameters are assumed to fall into k classes with constant error varaince for a class. The asymptotic properties of the proposed estimate is established for increasing number of classes k, assuming the number of observations in the classes form a fixed sequence

 

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