| 21. | However, for shape parameter values ?, ? > 1, the variances ( and therefore the curvatures ) flatten out.
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| 22. | The accompanying plots show the log geometric variances and log geometric covariance versus the shape parameters ? and ?.
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| 23. | The parameters being fitted include the unit-cell parameters, the instrumental zero error, peak width parameters, and peak shape parameters.
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| 24. | The gradient informs one directly about the shape parameter k and the scale parameter \ lambda can also be inferred.
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| 25. | The maximum spacing estimator is a consistent estimator in that it shifted Weibull, with a shape parameter less than 1.
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| 26. | Therefore, the harmonic mean ( " H X " ) of a beta distribution with shape parameters ? and ? is:
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| 27. | The shape parameter \ xi is often restricted to lie in [-1, 1 ], when the probability density function is bounded.
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| 28. | It depends on a scale parameter ? > 0 and shape parameters " m " > 1 / 2 and ?.
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| 29. | Random generation of gamma variates is discussed in detail by Devroye, noting that none are uniformly fast for all shape parameters.
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| 30. | These variances ( and therefore the curvatures ) are much larger for small values of the shape parameter ? and ?.
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