Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Eric's career includes extensive work in both public and ...

Integration techniques can be used to determine probabilities for any probability that is continuous. The function that models this probability is called a probability density function. A probability ...

This repository contains R code for developing and analyzing probability distributions for both discrete and continuous variables. - philiase/Probability-Distributions-with-R ...

Abstract: Robustness is an important criterion for evaluating semantic simultaneous localization and mapping (semantic SLAM). Limited to the computational cost and the complexity of the network, ...