Aspects of Maximum Likelihood Estimation of the Logistic Growth Function
作者:
F.R. Oliver,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1966)
卷期:
Volume 61,
issue 315
页码: 697-705
ISSN:0162-1459
年代: 1966
DOI:10.1080/01621459.1966.10480898
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The maximum likelihood estimators of the three-parameter logistic growth function with independent homoskedastic normally distributed error terms have, for sufficient observations, a variance-covariance matrix whose inverse is obtained. Some properties of the estimators are derived. An experimental study shows that small numbers of observations may lead to least squares estimates which do not have the convenient properties of estimates based on large samples.
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