Therefore, the time distribution between the sampling algorithms will be different even if they have an equal probability of selection. Alternatively, it is also possible to distribute computation time between
"Efficient computation of the joint sample frequency spectra for multiple populations". In: Journal of Computational and Graphical Statistics.Kamm, J. A., J. Terhorst, and Y. S. Song, 2016 Efficient computation of the joint sample frequency spectra for multiple populations. J. Comput. Graph. ...
S. 2015. Efficient computation of the joint sample frequency spectra for multiple populations. arXiv preprint: http://arxiv.org/abs/1503.01133.Kamm, J. A., J. Terhorst, and Y. S. Song, 2016 Efficient computation of the joint sample frequency spectra for multiple populations. J. Comput. ...
When real-time frequency analysis is required on a large amount of data, such as with spectrum analysis, the required computation time can be much too long. In this case, the output frequency data (DFT) falls behind the input time-domain data. If we have frequency-domain data and want ...
A skewness value of zero suggests a symmetric distribution, where the mean, median and mode coincide, and gains or losses on each side exhibit equal frequency. As a guideline, skewness values less than −1 or greater than 1 indicate a highly skewed distribution, values between −1 and ...
Fundamental machine learning theory shows that different samples contribute unequally to both the learning and testing processes. Recent studies on deep ne
If \(\{X_a, X_b, \ldots , X_{m}\}\) are random samples from a particular DGP distribution of \(X_m\), it will be important to know whether occurrences of a factor a are expected to follow or precede occurrences of another factor b. The likelihood of such order relations is ...
Student[Statistics] Sample generate random sample Calling Sequence Parameters Description Computation Examples References Compatibility Calling Sequence Sample( X , n , numeric_option , output_option ) Parameters X - algebraic; random variable n - positi
Note that each increase in saliency level involves more computation and thus requires more time and computational power. The argument to this flag must be an integer 1, 2, or 3. Note that Epilogos defaults to a saliency level of 1. Example: Saliency 1: $ epilogos -i data/pyData/male...
Sample size computation based on the approach by Makuch and Simon [90] performs well when the sample size is large. In the case with small to moderate sample sizes, exact approaches would be preferable to guarantee the type I error rate. Chang et al. [91] presented the exact sample size...