shape parameter sentence in Hindi
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- However, for shape parameter values ?, ? > 1, the variances ( and therefore the curvatures ) flatten out.
- The accompanying plots show the log geometric variances and log geometric covariance versus the shape parameters ? and ?.
- The parameters being fitted include the unit-cell parameters, the instrumental zero error, peak width parameters, and peak shape parameters.
- The gradient informs one directly about the shape parameter k and the scale parameter \ lambda can also be inferred.
- The maximum spacing estimator is a consistent estimator in that it shifted Weibull, with a shape parameter less than 1.
- Therefore, the harmonic mean ( " H X " ) of a beta distribution with shape parameters ? and ? is:
- The shape parameter \ xi is often restricted to lie in [-1, 1 ], when the probability density function is bounded.
- It depends on a scale parameter ? > 0 and shape parameters " m " > 1 / 2 and ?.
- Random generation of gamma variates is discussed in detail by Devroye, noting that none are uniformly fast for all shape parameters.
- These variances ( and therefore the curvatures ) are much larger for small values of the shape parameter ? and ?.
- P ( s, x ) is the cumulative distribution function for Gamma random variables with shape parameter s and scale parameter 1.
- Where B is the beta function, \ alpha and \ beta are the shape parameters, and \ lambda is the noncentrality parameter.
- For certain values of the shape parameters ? and ?, the probability density function has inflection points, at which the curvature changes sign.
- Beta wavelets can be viewed as a soft variety of Haar wavelets whose shape is fine-tuned by two shape parameters ? and ?.
- In the field of materials science, the shape parameter " k " of a distribution of strengths is known as the Weibull modulus.
- The accompanying plot shows the difference between the mean and the geometric mean for shape parameters ? and ? from zero to 2.
- Where \ alpha is the shape parameter, or index of stability, \ mu is the location parameter, and " c " is the scale parameter.
- There exist a number of mathematical theories concerning the family of multiquadric radial basis functions and providing some suggestions on the choice of the shape parameter.
- The log geometric covariance is negative for all values of the shape parameters, and it reaches large negative values for ? and ? less than unity.
- The technique is simply " plot the probability plot correlation coefficients for different values of the shape parameter, and choose whichever value yields the best fit ".
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