So far, you learned about discrete random variables and how to calculate or visualize their distribution functions. In this lesson, you'll learn about continuous variables and probability density ...

So far, you learned about discrete random variables and how to calculate or visualize their distribution functions. In this lesson, you'll learn about continuous variables and probability density ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

In the present paper as estimation of unknown pdf derivative of a spline function is suggested. It is studied its some statistical properties which are used to approximate maximal deviation of the ...

Abstract: A wide family of consistent estimators is introduced for unnormalized statistical models. They do not need normalization of the probability density function (PDF) because they are based on ...

Abstract: In this paper is implemented the bi-modal probability density function to improve the fit of wind speed distributions in the site of La Venta in the region of the Isthmus of Tehuantepec, ...