An Application of the Growth Curve Model to a Spatial Temporal data
Author:
Affiliation:
1. The Center for Data Science Education and Research, Shiga University
Publisher
Japanese Society of Applied Statistics
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jappstat/49/2/49_71/_pdf
Reference17 articles.
1. Fotheringham, A. S., Brunsdon, C. and Charlton, M. (2003): Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Wiley.
2. Hastie, T. and Tibshirani, R. (1993): Varying-coefficient models, J. Roy. Statist. Soc. Ser. B, 55, 757-796.
3. Laird, N. M. and Ware, J. H. (1982): Random-effects models for longitudinal data, Biometrics, 38, 963-974.
4. Liang, K. Y. and Zeger, S. L. (1986): Longitudinal data analysis using generalized linear models, Biometrika, 73, 13-22.
5. Potthoff, R. F. and Roy, S. N. (1964): A generalized multivariate analysis of variance model useful especially for growth curve problems. Biometrika, 51, 313-326.
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