Equation 2 is converted as a logarithmic expression for calculating its derivative. Only the derivative of Eq. 2 can lead to the optimal “k” number of hash functions expression as shown in Eq. 3. Equation 4 calculates the optimal bit array size of a bloom filter. Thus, the optimal bit...
Equation 2 is converted as a logarithmic expression for calculating its derivative. Only the derivative of Eq. 2 can lead to the optimal “k” number of hash functions expression as shown in Eq. 3. Equation 4 calculates the optimal bit array size of a bloom filter. Thus, the optimal bit...
12. It can be indicated that the min–max and Z score algorithms can truly preserve the fluctuations in the original data; the algorithms based on logarithmic and arctangent functions are affected by the order of the original data, i.e., the larger the order of the original dataset is, ...
In the case of the Young's modulus, which follows a log-normal distribution, the logarithmic transformation of the data is first accomplished, and then the same Bayesian analysis is applied. The conjugate prior of a normal distribution with unknown mean and variance is a normal-inverse-gamma ...
This coefficient was employed by Ferguson [52] and Horowitz and McConnell [53] to rectify the logarithmic transformation ramification, considering a normal distribution for residual errors. This technique applies a correction coefficient derived from the square of the regression residual standard error, ...
This coefficient was employed by Ferguson [52] and Horowitz and McConnell [53] to rectify the logarithmic transformation ramification, considering a normal distribution for residual errors. This technique applies a correction coefficient derived from the square of the regression residual standard error, ...