With continuous random variables we should use the probability density function f(x). The difference is that the probability density function does not directly provide probabilities. However, the area ...

Discover how the exponential distribution shapes our daily lives and decision-making processes in various real-world scenarios through data science insights. Skip to main content LinkedIn Articles ...

A novel graph-based Estimation of Distribution Algorithm (EDA) named Probabilistic Model Building Genetic Network Programming (PMBGNP) has been proposed. Inspired by classical EDAs, PMBGNP memorizes ...

This paper describes an identifier for a class of nonlinear systems based on continuous recurrent neural networks (CRNN). The identifier is proposed considering the approximation properties of ...

Analysis of incomplete, censored data in competing risks models with generalized exponential distribution. IEEE Transactions on Reliability, 56: 132-138. 22 SARKAR S. 1987. A continuous bivariate ...