Login  |  Join Us  |  Subscribe to Newsletter
Login to View News Feed and Manage Profile
☰
Login
Join Us
Login to View News Feed and Manage Profile
Agency
Agency
  • Home
  • Information
    • Discussion
    • Articles
    • Whitepapers
    • Use Cases
    • News
    • Contributors
    • Subscribe to Newsletter
  • Courses
    • Data Science & Analytics
    • Statistics and Related Courses
    • Online Data Science Courses
  • Prodigy
    • Prodigy Login
    • Prodigy Find Out More
    • Prodigy Free Services
    • Prodigy Feedback
    • Prodigy T&Cs
  • Awards
    • Contributors Competition
    • Data Science Writer Of The Year
    • Data Science Awards 2021
  • Membership
    • Individual
    • Organisational
    • University
    • Associate
    • Affiliate
    • Benefits
    • Membership Fees
    • Join Us
  • Consultancy
    • Professional Services
    • Project Methodology
    • Unlock Your Data
    • Advanced Analytics
  • Resources
    • Big Data Resources
    • Technology Resources
    • Speakers
    • Data Science Jobs Board
    • Member CVs
  • About
    • Contact
    • Data Science Foundation
    • Steering Group
    • Professional Standards
    • Government And Industry
    • Sponsors
    • Supporter
    • Application Form
    • Education
    • Legal Notice
    • Privacy
    • Sitemap
  • Home
  • Information
    • Discussion
    • Articles
    • Whitepapers
    • Use Cases
    • News
    • Contributors
  • Courses
    • Data Science & Analytics
    • Statistics and Related Courses
    • Online Data Science Courses
  • Prodigy
    • Prodigy Login
    • Prodigy Find Out More
    • Prodigy Free Services
    • Prodigy Feedback
    • Prodigy T&Cs
  • Awards
    • Contributors Competition
    • Data Science Writer
    • Data Science Awards 2021
  • Membership
    • Individual
    • Organisational
    • University
    • Associate
    • Affiliate
    • Benefits
    • Membership Fees
    • Join Us
  • Consultancy
    • Professional Services
    • Project Methodology
    • Unlock Your Data
    • Advanced Analytics
  • Resources
    • Big Data Resources
    • Technology Resources
    • Speakers
    • Data Science Jobs Board
    • Member CVs
  • About
    • Contact
    • Data Science Foundation
    • Steering Group
    • Professional Standards
    • Government And Industry
    • Sponsors
    • Supporter
    • Application Form
    • Education
    • Legal Notice
    • Privacy
    • Sitemap
  • Subscribe to Newsletter

Piecewise hazard model for under-five child mortality

Back

Rakesh Saroj

06 Dec 2020 02:26:33 PM

The application of piecewise hazard model in mortality data becomes more useful in survival methods. This method is used to find the number and location cut points and to estimate the hazard model. The objective of this paper is to illustrate the piecewise constant hazard model and to find significant factors for under-five child mortality.

Read more

Message cannot be blank.

Login or Register to comment

Categories

  • Data Science
  • Data Security
  • Analytics
  • Machine Learning
  • Artificial Intelligence
  • Robotics
  • Visualisation
  • Internet of Things
  • People & Leadership
  • Other Topics

Edit Topic

Comment

You cannot reply to your own comment or question. You can respond to another member's comment in this thread.

To attach files from your computer

    Get in touch

     

    Subscribe to latest Data science Foundation news

    I have read and agree to the Data science Foundation Privacy Policy

    • Home
    • Information
    • Resources
    • Membership
    • Services
    • Legal
    • Privacy
    • Site Map
    • Contact

    © 2021 Data science Foundation. All rights reserved. Data S.F. Limited 09624670

    Site By-Peppersack

    We use cookies

    Cookie Information

    We are using cookies to provide statistics that help us to improve your experience of our site. You can choose to use the site without cookies. However, by continuing to use the site without changing your settings, you are agreeing to our use of cookies.

    Complete your membership listing and tell others about your interests, experience and qualifications with a Personal Profile page.

    Add a Personal Profile

    Your Personal Profile page is missing information about your experience and qualifications that other members would find interesting. Click here to update.

    Login / Join Us

    Login to your membership account to view your personalised news feed, update your profile, manage your preferences. publish articles and to create a following.

    If you are not a member but work with or have an interest in Data Science, Machine Learning and Artificial Intelligence, join us today.

    Login | Join Us

    Support the work of the Data Science Foundation

    Help to fund our work and enable us to provide free communications and knowledge sharing services to members across the globe.

    Click here to set-up a donation of £30 per year