(A) study of the test of each factor's effect in full model with missing cells = 결측치를 갖는 full model 에서 각 요인의 효과의 검증에 관한 연구

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In the analysis of linear models for designed experiments, SAS furnishes sums of squares corresponding to different four hypotheses defining a main effect. Elston (1964) suggests that it is still possible to test the main effect when some of the subclasses are empty. But this can be extended to any case in which missing cells exist. Even in case of full model that missing cells exists, we can obtain sum of squares (corresponding to Type IV) testing main effect. In general case we can find sum of squares that is reduced to main effect under $\Sigma$-restriction and $\gamma$ missing cell = 0
Advisors
Kim, Byung-Chunresearcher김병천researcher
Description
한국과학기술원 : 응용수학과,
Publisher
한국과학기술원
Issue Date
1990
Identifier
67137/325007 / 000881388
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 응용수학과, 1990.2, [ [ii], 25, [3] p. ; ]

URI
http://hdl.handle.net/10203/42334
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=67137&flag=dissertation
Appears in Collection
MA-Theses_Master(석사논문)
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