The data are taken from the German Statistisches Bundesamt from the Statistical Yearbook 2006 for Germany [88] (there is also a spreadsheet version available).
We will take the data for the population number of the state Baden-Württemberg as starting point. The time window 1961 - 1990 shall be used as base time for the model and the time 1995 - 2005 shall be used for testing the model. The population number of the state Baden-Württemberg shall be called
where
is the time unit of a year. Thus we could write:
| POP at TIME t | NUMBER [1000] |
|---|---|
| 7.839,00 | |
| 8.954,00 | |
| 9.259,00 | |
| 9.271,00 | |
| 9.330,00 | |
| 9.822,00 |
But these data do not provide any dependency. To get a least one dependency one has to introduce one more parameter which can be related to the parameter
.
| POP at TIME t | NUMBER [1000] | NUMBER OF YEARS | CHANGE PER YEAR [%] |
|---|---|---|---|
| 7.839,00 | - | - | |
| 8.954,00 | 9 | 1.58 | |
| 9.259,00 | 10 | 0.34 | |
| 9.271,00 | 5 | 0.03 | |
| 9.330,00 | 2 | 0.32 | |
| 9.822,00 | 3 | 1,76 | |
| Arithmetic Mean | - | - | 0.84 |
The change rate (ChR) is the new derived parameter which allows now the construction of a simple dependency.
Gerd Doeben-Henisch 2009-12-09