scale parameter वाक्य
उदाहरण वाक्य
मोबाइल
- If and only if all the " Y " " i " have gamma distributions with the same scale parameter.
- The parameter \ gamma controls the rate of jump arrivals and the scaling parameter \ lambda inversely controls the jump size.
- Due to properties of the Fourier transform, the rotation and scaling parameters can be determined in a manner invariant to translation.
- It depends on a scale parameter ? > 0 and shape parameters " m " > 1 / 2 and ?.
- The scale parameters c, \ sigma and k determine the scaling of the inputs in the polynomial, RBF and MLP kernel function.
- When the scale parameter \ mu equals 2, the distribution simplifies to the chi-squared distribution with " 2k " degrees of freedom.
- P ( s, x ) is the cumulative distribution function for Gamma random variables with shape parameter s and scale parameter 1.
- As with other probability distributions, the Tukey lambda distribution can be transformed with a location parameter, ?, and a scale parameter, ?.
- The versions below with _ ls appended show how to generalize this to encompass an arbitrary location parameter mu and scale parameter sigma.
- When \ mu is equal to 0 and the scale parameter is equal to 1, the Holtsmark distribution has the probability density function:
- The TSD equation also features a scaling parameter " s " which controls the degree to which the temporal difference scales to spatial units.
- Here, ? is a location parameter and " b " > 0, which is sometimes referred to as the diversity, is a scale parameter.
- Augustin-Louis Cauchy exploited such a density function in 1827 with an infinitesimal scale parameter, defining what would now be called a Dirac delta function.
- In this context the scaling parameter is denoted by & sigma; 0 2 rather than by & tau; 2, and has a different interpretation.
- Where \ alpha is the shape parameter, or index of stability, \ mu is the location parameter, and " c " is the scale parameter.
- Thus the MH algorithm requires reasonable tuning of the scale parameter ( \ sigma ^ 2 \, or \ mathbf { \ Sigma } ).
- Where ? > 0 is mean, standard deviation, and scale parameter of the distribution, the reciprocal of the " rate parameter ", ?, defined above.
- Then " s " is called a "'scale parameter "', since its value determines the " scale " or statistical dispersion of the probability distribution.
- Similarly, an arbitrary scale parameter " s " is equivalent to setting the scale parameter to 1 and then dividing all regression coefficients by " s ".
- Similarly, an arbitrary scale parameter " s " is equivalent to setting the scale parameter to 1 and then dividing all regression coefficients by " s ".
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