|Description:||Provides an environment for non-linear chi-square and/or least-square fitting and it gives access to the goodness-of-fit, to the covariance matrix and to confidence limits. The fit functions can be archived and maintained in a catalog and the results can be plotted in several ways. Does not auto-attach, so you must manually do a :0:768 ATTACH.|
|Author:||Steven Ahlig |
|Downloaded file size:||17,556 bytes|
|Size on calculator:||7 KB|
|User rating:||10/10 with 2 votes (you must be logged in to vote)|
|File date:||2000/11/26 18:23:40|
|Source code:||Not included|
|Version history:||2000/11/26: Updated to version 1.52|
2000/11/21: Updated to version 1.5
2000/10/08: Updated to version 1.4
2000/10/03: Updated to version 1.3
2000/09/08: Updated to version 1.2
2000/08/16: Added to site
| Length Date Time Name
-------- ---- ---- ----
1304 11-27-00 13:52 readme.txt
2161 11-21-00 11:49 error.htm
9147 11-21-00 11:49 examp.htm
3879 11-27-00 13:47 history.htm
3999 11-27-00 13:50 main.htm
7107 11-21-00 11:49 mainmen.htm
1331 11-21-00 11:49 MDCAT
907 11-21-00 11:49 misc.htm
6856 11-27-00 13:30 modaV152.lib
3339 11-21-00 11:49 cat.htm
40030 10 files
|Library contents:||modaV152.lib: Library 768, MODA V1.52
|User comments:||Nick Karagiaouroglou|
Fitting data to a specified function is one of the major tasks, when all analytical work simply doesn't work. If for example data of measurements are collected, we may try to find a theoretical function, which represents what we have measured. But sometimes it is difficult/impossible to find such a function with the help of theoretical modelling. Even in such cases, when the data are plotted, one can "see" some kind of dependencies. (Say periodical, exponential and so on, or even a mixture.) These dependencies have by no means to be only the four types, for which the HP49G has a built-in fit procedure. That is where MODA comes in play.
This excellent tool allows to fit any data to any specified function. It organizes your functions in families, so that you just type them once and then have them always available. You can also specify error tolerances of the Y-Data (Dependent data) - just another evidence of how professional this tool is. The results are shown in many ways, you can even plot how good the model fits the data. And though of course you can do your jobs interactively with its nice interface, programmatic use is also available.
I have used it so many times with so many different data, that now I just consider it to belong to the standand functions of my HP49. It has shown its strength especially with oscillatory fit functions and with data that simply look totally random. In combination with the build-in fourier transform facilities of the HP49, we have a real high end laboratory tool.
Since MODA, we can really say, that we can fit anything with the HP49G, except of course for the size of my trousers, which goes up and up as I grow older. ;-)
I am completely oblivious as to how to install this program on the 50G, I am not familiar with :0:768 ATTACH. Please provide a complete tutorial as this program would be GREAT!!! to use in both Science/Business classes and in my work.
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