|
|||||
Experimental Data Analysis
|
|
Extensive error analysis capabilities in Experimental Data Analyst easily handle errors in both coordinates of the data, obtain estimated errors in the fit parameters, and examine graphical information about the fit, including residuals of the fit. Experimental Data Analyst allows you to fit data to linear or arbitrary models. You can fit data to lines or curves when one or more of the data points may be "wild" and the least-squares technique cannot be used. For advanced problems, it's easy to customize the behavior of the fitting routines by selecting from numerous options. For less complex cases, you can simply rely on the defaults for quick, accurate solutions. Various data transformation techniques such as data smoothing and noise elimination as well as routines that automatically propagate errors of precision are available. Impressive graphics capabilities provide you with a rich environment for the visualization of your experimental data. An extension of Mathematica's function ListPlot visualizes errors in your data coordinates with error bars. The distribution of your data values can be viewed pictorially using histograms or box plots. You can fully control the display based on the data, the number of bins, the min, and the max. The package comes with electronic documentation, which is fully integrated with the Mathematica Help Browser. Auf CD-Rom und als Download erhältlich. |
  |
Wurde weitgehend in Mathematica 6, 7 und 8 integriert. Bestellen:
Lesen Sie unsere Download-Hinweise |
|
