Teaching Bayes on MINITAB

Some example analyses are presented to demonstrate the use of the statistical package MINITAB for Bayesian statistical inference. It is shown that for a single parameter the package is useful for computation and presentation of posterior densities and posterior predictive densities. This style of an...

Full description

Saved in:
Bibliographic Details
Published in:Applied Statistics 1993-01, Vol.42 (1), p.223-232
Main Authors: Marriott, John M., Naylor, John C.
Format: Article
Language:English
Subjects:
Approximation
Bayesian inference
Bayesian theories
Censored data
Continuous parameter
Cumulative distribution functions
Discrete parameter
Exact sciences and technology
General Interest Section
General topics
Inference
Life data
Mathematical moments
Mathematics
Mathematics education
MINITAB
Prediction
Population size
Probabilities
Probability and statistics
Sciences and techniques of general use
Statistics
Trapezoidal rule
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Some example analyses are presented to demonstrate the use of the statistical package MINITAB for Bayesian statistical inference. It is shown that for a single parameter the package is useful for computation and presentation of posterior densities and posterior predictive densities. This style of analysis has been found to be particularly suitable for teaching Bayesian methods.
ISSN:0035-9254
1467-9876
DOI:10.2307/2347422