Estimating Regression Coefficients for Balanced Growth Curve Model When Time Trend of Baseline is Not Specified
| Autor: | Tetsuji Tonda, Kenichi Satoh |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Statistics::Theory
021103 operations research Longitudinal data Proportional hazards model Applied Mathematics 0211 other engineering and technologies 02 engineering and technology 01 natural sciences General Business Management and Accounting Growth curve (statistics) 010104 statistics & probability Baseline time Statistics Linear regression Econometrics Statistics::Methodology 0101 mathematics Baseline (configuration management) Mathematics |
| Zdroj: | American Journal of Mathematical and Management Sciences. 35:183-193 |
| ISSN: | 2325-8454 0196-6324 |
| DOI: | 10.1080/01966324.2015.1137253 |
| Popis: | SYNOPTIC ABSTRACTThis article presents a method for estimating the regression coefficients for a growth curve model when the time trend of the baseline has not been specified. The concept of this method is similar to that of the Cox proportional hazard model. No particular shape is assumed for the baseline time trends, or, alternatively, it can be assumed that they are estimated nonparametrically. Because of these nuisance parameters for the baseline trends, we do not have to pay attention to model those shapes. In addition to the simplicity of modeling baseline curves, we can also nonparametrically describe the baseline trends by using the residuals after the regression coefficients have been estimated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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