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PoissFit |
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PoissFit |
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»Click here to display Table of Contents«
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PoissFit |
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PoissFit |
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Generates Poisson distribution parameter estimates and confidence intervals. |
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Syntax |
Mu, MuCI = PoissFit(Points) |
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Arguments |
Name |
Description |
Points |
A vector of non-negative data points. |
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Outputs |
Name |
Description |
Mu |
Estimate of the distribution mean. A scalar. |
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MuCI |
95% confidence interval of the estimate of Mu. A two element row vector containing the lower and upper bounds of the confidence interval. |
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Example |
For a given data set, find Mu and the confidence intervals assuming an Poisson distribution. |
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Syntax |
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mu, muCI = PoissFit(data) |
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Results |
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Mu is the maximum likelihood estimate of the mean |
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MuCI is a two element vector containing the 95% confidence interval of Mu |
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See Also: |
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