Estimation of Fixed and Random Effects in the Functional Nonlinear Errors‐in‐Variable Model
作者:
P. M. Johnson,
G. A. Milliken,
期刊:
Biometrical Journal
(WILEY Available online 1985)
卷期:
Volume 27,
issue 1
页码: 81-88
ISSN:0323-3847
年代: 1985
DOI:10.1002/bimj.4710270111
出版商: WILEY‐VCH Verlag
关键词: Nonlinear errors‐in‐variable model;functional relationship;Michaelis‐Menten Model
数据来源: WILEY
摘要:
AbstractConsider an experiment where a nonlinear continuous functional relationship exists betweenyandX.Assume that this relationship has been measured atnreplicated points ofXfrom each ofttreatments or populations. Assume further that theXare fixed unknown vectors and that the location parametervis either a fixed unknown vector or a vector of random variables. In the first case various linear hypotheses are to be tested aboutv, such as tests for main effects and interaction; in the second case, the mean and variance of the random variablevare to be estimated. A two‐step procedure based on asymptotic theory is presented to test hypotheses or develop estimates for the fixed effects or random effects functional errors‐in‐variable model. An example of a one‐way random effects model i
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