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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