A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

The only way in which probability functions and belief functions can yield different solutions for the agent’s degree of belief is if they are applied to different examples, i.e. to different ...

Probability density function (PDF) Original research An iterative copula method for probability density estimation This paper puts forward a technique with which to reconstruct a probability density ...

Synthese spans the topics of Epistemology, Methodology and Philosophy of Science. Coverage includes the theory of knowledge; general methodological problems of science, of induction and probability, ...

Normal Probability Plot: a quantile-quantile plot where one of the data sets is normally distributed. Probability Density Function: a function of a continuous random variable, such that the area under ...

In this paper, we propose a functional linear regression model in the space of probability density functions. We treat a cross-sectional distribution of individual earnings as an infinite dimensional ...

It is the purpose of this communication to present an empirical form for the excitation probability functions of the atomic and molecular levels which seems to fit the few experimental curves ...

The PROBBNML function returns the probability that an observation from a binomial distribution (with parameters n and p) is less than or equal to m. To compute the probability that an observation is ...