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BetaFit |
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BetaFit |
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»Click here to display Table of Contents«
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BetaFit |
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BetaFit |
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Generates beta distribution parameter estimates and confidence intervals. |
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Syntax |
a, b, aCI, bCI = BetaFit(Points) |
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Argument |
Name |
Description |
Points |
A vector of data points in the interval (0,1). Needs at least 3 distinct points. |
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Outputs |
Name |
Description |
a |
Estimate of the first shape parameter. A scalar. |
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b |
Estimate of the second shape parameter. A scalar. |
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aCI |
95% confidence interval of the estimate of a. A two element row vector containing the lower and upper bounds of the confidence interval. |
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bCI |
95% confidence interval of the estimate of b. 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 a, b, and the confidence intervals, assuming a beta distribution. |
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Syntax |
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a, b, aCI, bCI = BetaFit(data) |
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Results |
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a is the maximum likelihood estimate of the first shape parameter. |
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b is the maximum likelihood estimate of the second shape parameter. |
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aCI is a two element vector containing the 95% confidence interval of a. |
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bCI is a two element vector containing the 95% confidence interval of b. |
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See Also: |
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