G. Tamer KAYAALP
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Fatma CEVYK
Not Available
ABSTRACT
In biological researches long period data sets were called longitudinal data. But statistical analysis cannot be applied when one or more observations are missing. For the estimation of missing values in longitudinal data sets, regression methods were used. The records from 30 water temperature value (3 station x 10 water temperature at different months) were taken. At the end estimated values for incomplete observations were similar to the model for the full completed observations. This results showed that the regression method for the incomplete observations can be used in similar cases by researchers.
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How to cite this article
G. Tamer KAYAALP and Fatma CEVYK, 2001. Estimation of Missing Values in Longitudinal Data Sets
Using Regression Methods in Biological Research. Journal of Biological Sciences, 1: 678-679.
DOI: 10.3923/jbs.2001.678.679
URL: https://scialert.net/abstract/?doi=jbs.2001.678.679
DOI: 10.3923/jbs.2001.678.679
URL: https://scialert.net/abstract/?doi=jbs.2001.678.679
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