Cqtool: Difference between revisions
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Assesses how well a particular distribution fits the data (x). Conditional quantile plots as described in the 1986 Kafadar and Spiegelman article "An alternative to ordinary q-q plots" in Computational Statistics & Data Analysis are also available in this toolbox | Assesses how well a particular distribution fits the data (x). Conditional quantile plots as described in the 1986 Kafadar and Spiegelman article "An alternative to ordinary q-q plots" in Computational Statistics & Data Analysis are also available in this toolbox | ||
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* '''x''' = The name of a matrix (column vector) in which the sample data is stored. | * '''x''' = The name of a matrix (column vector) in which the sample data is stored. | ||
Latest revision as of 17:33, 3 September 2008
Purpose
Interactive conditional quantile-quantile plot gui.
Synopsis
- cqtool(x)
Description
Assesses how well a particular distribution fits the data (x). Conditional quantile plots as described in the 1986 Kafadar and Spiegelman article "An alternative to ordinary q-q plots" in Computational Statistics & Data Analysis are also available in this toolbox
Inputs
- x = The name of a matrix (column vector) in which the sample data is stored.
Examples
cqtool(x)
Note: If a sample contains all negative values, then some of the overlay distributions will not be drawn as they are not applicable. If only some of the sample is made up of negative values, these values are ignored in obtaining the maximum likelihood estimates and subsequent results.