ship

Data represents results of quality-control inspections executed by Portsmouth Naval Shipyard on lots of welding materials. The data has \(k=5\) observations of number of defects \(y\) out of the total number of tested \(n=5\).

datasets

A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. 2018 paper "Generalized Empirical Bayes via Frequentist Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).

Doug Fletcher

BayesGOF

Bayesian Modeling via Frequentist Goodness-of-Fit

ship function

A data frame of \((y_i, n_i)\) for \(i = 1,...,5\).<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>number of defects found in the \(i^{th}\) inspection</dd>
 <dt><code>n</code></dt><dd>total samples tested in the \(i^{th}\) inspection</dd>
 </dl>

Format

Portsmouth Navy Shipyard Data — ship

A data frame of \((y_i, n_i)\) for \(i = 1,...,5\).<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>number of defects found in the \(i^{th}\) inspection</dd>
 <dt><code>n</code></dt><dd>total samples tested in the \(i^{th}\) inspection</dd>
 </dl>

ship: Portsmouth Navy Shipyard Data

Description

Usage

Arguments

Format