## 25 Reputation

11 years, 243 days

## Parameter estimation...

This is really great!!! The first part works well, but there is just one other problem.

When i use the top part(SSQ method) on different data with another set of initial conditions, i cant find the proper parameters that fit my data.

Tried the method on a set of real data from the epidemic "the Great Plague of London" during 1665, but couldn´t figure out the value of beta and alpha. The number of susceptibles is 460.000 and the number infected is 10 at t(0).

London_plague.mw

It is especially the 3d and contour plot that makes no sense to me, no matter what interval i choose.

Is there an easy way to estimate the interval for my parameters, beta and alpha, when plotting my data to an abitrary set of data?? Preferably without using the 3d and contour plot, because it takes years for maple to calculate the plot on my pc??

` `

## Parameter estimation...

This is really great!!! The first part works well, but there is just one other problem.

When i use the top part(SSQ method) on different data with another set of initial conditions, i cant find the proper parameters that fit my data.

Tried the method on a set of real data from the epidemic "the Great Plague of London" during 1665, but couldn´t figure out the value of beta and alpha. The number of susceptibles is 460.000 and the number infected is 10 at t(0).

London_plague.mw

It is especially the 3d and contour plot that makes no sense to me, no matter what interval i choose.

Is there an easy way to estimate the interval for my parameters, beta and alpha, when plotting my data to an abitrary set of data?? Preferably without using the 3d and contour plot, because it takes years for maple to calculate the plot on my pc??

` `

## Didn´t see that. But i still think...

Didn´t see that. But i still think my problem is caused by the proc.

## Didn´t see that. But i still think...

Didn´t see that. But i still think my problem is caused by the proc.

## Worksheet...

Data_fit.mw

Hope this work ;)

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