Sentence examples for mixture PDFs have from inspiring English sources

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Compared to conventional single PDFs, mixture PDFs have performed well in modeling the wind speeds.

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Many PDFs have been proposed in recent past, but in present study Weibull, Lognormal, gamma, GEV, WW-PDF, mixture gamma and Weibull distribution, mixture normal distribution, mixture normal and Weibull distribution, and three new mixture distributions, viz., Weibull-lognormal, GEV-lognormal, and Weibull-GEV are used to describe wind speed characteristics.

The use of only one Weibull PDF seems to be problematic, and at special sites, e.g. the wind farm Chungtun located at a small island in Taiwan Trait (see Liu et al. 2014 for details), a bimodal mixture Weibull PDF has shown to be more useful (see also Jaramillo and Borja 2004).

The multiple importance sampling (MIS) estimator [1, 2], and in particular balance heuristic, which is equivalent to the Monte Carlo estimator with a mixture of probability density functions (pdfs), has been used for many years with a big success, being a reliable and robust estimator that allows an easy and straightforward combination of different sampling techniques.

The cumulative distribution function (cdf) and the probability density function (pdf) have been expressed as mixtures of the Generalized Weibull cdfs and pdfs.

Of the nine original nominees, four – the candidates from Ghana (pdf), Kenya (pdf), Costa Rica (pdf) and Jordan (pdf) have been knocked out of the running, the WTO announced on Friday.

Accordingly, PDF has been evaluated as a drug target; however, architectural mechanism studies of PDF have not yet fully elucidated its molecular function.

After both pdf have been uploaded click on "MERGE PDF".

An important part of the algorithm is to derive a generalized Gaussian mixture pdf that does not have to adjust to the particular testing music piece.

The recent Supreme Court decision on the Roundup Ready Alfalfa case (PDF) has drawn a mixture of reactions from the mainstream media, and from the Blogosphere.

We employ two different versions of expectation maximization (EM) algorithm to find the parameters of mixture model and compare our new method with other image denoising techniques that are based on (1) non mixture pdfs that are not local, (2) non mixture pdfs with local variances, (3) mixture pdfs without local parameters and (4) methods that consider both heavy-tailed and locality properties.

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