| 1. | For the MQ, its shape parameter largely determines its interpolation error.
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| 2. | If one of the shape parameters is known, the problem is considerably simplified.
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| 3. | The log geometric variances are positive for all values of the shape parameters.
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| 4. | Moreover, the skewness and coefficient of variation depend only on the shape parameter.
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| 5. | With shape parameter \ alpha and scale parameter \ beta.
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| 6. | The Tukey lambda distribution has a single shape parameter ?.
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| 7. | The Weibull distribution with fixed shape parameter " k " is an exponential family.
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| 8. | When the shape parameter is zero, the normal distribution results.
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| 9. | The Erlang distribution with shape parameter k equal to 1 simplifies to the exponential distribution.
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| 10. | The shape parameter " ? " of the Pearson type IV distribution controls its skewness.
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