rdatacode.com
  • About
  • Download
    • Python Course Source FilesDownload Python Course source files
    • R Course Source FilesDownload R Course code source files.
  • R Programming
  • Python
  • Statistics
  • Course
    • Course Registration
    • Course InstructorCourse instructor introduction
    • R Basic CourseR fundamental programming course.
    • Python Basic CoursePython Basic Course

cumulativeprobability

Python

Poisson distribution implementation in Python

Poisson distribution is a discrete distribution. It is frequently used to model the counts of event occurrence during a specified time interval, such as telephone calls coming in to a call center in a given day. There is one parameter in the Poisson probability function, λ, which denotes the constant occurring rate in a Poisson process.

By wilsonzhang746, 1 yearDecember 30, 2023 ago
R Programming

Implementing beta distribution in R programming

Beta distribution is a family of distributions which are used to model the probability of continuous random variables defined on [0, 1]. There are two parameters , α and β in Beta distribution. A continuous uniform distribution defined on [0, 1] is actually a special case of a beta distribution, when both α and β equal 1.

By wilsonzhang746, 1 yearDecember 17, 2023 ago
  • About
  • BLOG
  • Contact Us for Course Registration
  • HOME
Hestia | Developed by ThemeIsle