RMIT University
Browse

Integrated statistical inference: the amalgamation of conventional and Bayesian statistical inference in introductory statistics courses

conference contribution
posted on 2024-10-31, 16:59 authored by James BaglinJames Baglin, Clifford Da Costa
Many educators of statistics have considered the idea of introducing Bayesian statistical inference into so called 'Bayes for Beginners' courses. There are also many others who have cautioned against doing so, citing the widespread acceptance of conventional statistical methods as a reason to hesitate. A good compromise would see both methods being taught in an integrated fashion to give a student the best of both inferential worlds. This paper will briefly overview Integrated Statistical Inference (ISI), a method for delivering both Bayesian and conventional concepts in an introductory statistics course.

History

Related Materials

  1. 1.
    ISBN - Is published in 9780980603484 (urn:isbn:9780980603484)

Start page

1

End page

4

Total pages

4

Outlet

Proceedings of the Third Annual Applied Statistics Education and Research Collaboration Conference (ASEARC)

Editors

David Allingham

Name of conference

Third Annual Applied Statistics Education and Research Collaboration Conference (ASEARC)

Publisher

Applied Statistics Education and Research Collaboration (ASEARC)

Place published

NSW, Australia

Start date

2009-12-07

End date

2009-12-08

Language

English

Copyright

© 2009

Former Identifier

2006039864

Esploro creation date

2020-06-22

Fedora creation date

2013-04-08

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC