Probability distribution functions (PDFs) describe the expected values of random variables drawn from a sample. The shape of the PDF explains how likely it is that an observed value might occur.

Probability distributions are characterized as either discrete or continuous, and as working as either a probability density function, or a cumulative distribution. Discrete vs. Continuous ...

Recommended probability distribution functions of transfer efficiencies from (a) carpet, vinyl, and (b) foil. Full size image. Discussion.

Once we have specified the border between appropriate and inappropriate uses of PDFs, we explore alternatives to their use. We briefly describe two formal alternatives, namely imprecise probabilities ...

To predict the energy yield of residential solar PV fleets based on limited information, Dutch researchers developed a ...

The course covers the probability, distribution theory and statistical inference needed for advanced courses in statistics and econometrics. Michaelmas term: Probability. Conditional probability and ...

Cumulative probability distribution. A function that shows the probability that the random variable will attain a value less than or equal to each value that the random variable can take on.