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In contrast, Prism can get confused by perfect data if you choose a robust fit, or if you checked the option to count or exclude outliers (which requires a ...
GraphPad FAQs
So it sometimes missed an outlier. This was true for any value of alpha you entered; it actually used a value for alpha half of what you entered. Fixed in ...
GraphPad FAQs
Outlier elimination and robust nonlinear regression; How nonlinear regression works. Why minimize the sum-of-squares? How nonlinear regression works; Nonlinear ...
https://www.graphpad.com/guides/prism/latest/curve-fitting/
Identifying outliers; One sample t test and Wilcoxon signed rank test; t tests, Mann-Whitney and Wilcoxon matched pairs test; Nested t tests and ANOVA; Multiple ...
https://www.graphpad.com/guides/prism/latest/statistics/
Example: Automatic outlier elimination (exponential decay); Example: Global nonlinear regression (dose-response curves); Example: Ambiguous fit (dose-response).
https://www.graphpad.com/guides/prism/latest/curve-fitting/
Next review the method you choose to use: Extra sum-of-squares or AIC model comparison. •Review how Prism compares models when it detects outliers. © 1995-2025 ...
https://www.graphpad.com/guides/prism/latest/curve-fitting/
Outlier calculator, Grubbs' Test (6%); Contingency calculator (5%); Chi-squared calculator (4%); One sample t Test (2%); Random number generator (2%); Moles to ...
GraphPad FAQs
Aug 16, 2023 ... ... the parameters and how to identify and how to solve issues related to ambiguous models, unstable parameters, extrapolation, and outliers.
https://www.graphpad.com/series/
Outlier elimination and robust nonlinear regression; How nonlinear regression works. REGRESSION WITH PRISM 7. We stand in support of our Ukrainian colleagues ...
https://www.graphpad.com/guides/prism/7/curve-fitting/
As such, these values sum to 1.0 (100% of the variance explained by the PC). Along with the score plot, this can be useful for identifying outliers or unusual ...
https://www.graphpad.com/guides/prism/latest/statistics/
