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About 743 documents, showing 1 to 10
1
Statisticians have devised several ways to detect outliers. Grubbs' test is particularly easy to understand. This method is also called the ESD method ...
GraphPad FAQs
2
This page explains how to identify an outlier from a stack of values in a data table formatted for Column data. Prism can also identify outliers during ...
https://www.graphpad.com/guides/prism/latest/statistics/
3
Free web calculator provided by GraphPad Software. Performs Grubbs' test Extreme Studentized Deviate (ESD) method. Clear results with links to extensive ...
https://www.graphpad.com/quickcalcs/grubbs1/
4
The residuals of the robust fit are analyzed to identify any outliers. This step uses a new outlier test adapted from the False Discovery Rate approach of ...
https://www.graphpad.com/guides/prism/latest/curve-fitting/
5
Prism uses the ROUT algorithm, using the value of Q that you can adjust to decide when to declare a point to be an outlier.
https://www.graphpad.com/guides/prism/latest/curve-fitting/
6
Prism implements a unique method to identify outliers when fitting curves with nonlinear regression. This example shows you how easy it is to identify ...
https://www.graphpad.com/guides/prism/latest/curve-fitting/
7
Briefly, it first fits a model to the data using a robust method where outliers have little impact. Then it uses a new outlier detection method, based on the ...
https://www.graphpad.com/guides/prism/latest/statistics/
8
Detecting multiple outliers is a challenge. Grubbs' test, also called the ESD (extreme studentized deviate) method, is a common method to remove outliers.
GraphPad FAQs
9
Prism provides a method for identifying outliers in column data (new to Prism 6) and a method to identify outliers when fitting curves with nonlinear ...
GraphPad FAQs
10
When identifying outliers, the step is to fit a curve using a robust method designed so outliers won't affect the curve much. Learn about robust nonlinear ...
https://www.graphpad.com/guides/prism/latest/curve-fitting/