NorbergIns

The number of claims \(y_i\) on a life insurance policy for each of \(k=72\) Norwegian occupational categories and the total number of years the workers in each category were exposed to risk (\(E_i\)).

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

NorbergIns function

A data frame of the occupational group number (<code>group</code>), the number of deaths (<code>deaths</code>), and the years of exposure (<code>exposure</code>) for \(i = 1,...,72\).<dl class="dl-horizontal">
 <dt><code>group</code></dt><dd>Occupational group number</dd>
 <dt><code>deaths</code></dt><dd>The number of deaths in the occupational group resulting in a claim on a life insurance policy.</dd>
	<dt><code>exposure</code></dt><dd>The total number of years of exposure to risk for those who passed.</dd>
	</dl>

Format

Norberg life insurance data — NorbergIns

A data frame of the occupational group number (<code>group</code>), the number of deaths (<code>deaths</code>), and the years of exposure (<code>exposure</code>) for \(i = 1,...,72\).<dl class='dl-horizontal'>
 <dt><code>group</code></dt><dd>Occupational group number</dd>
 <dt><code>deaths</code></dt><dd>The number of deaths in the occupational group resulting in a claim on a life insurance policy.</dd>
	<dt><code>exposure</code></dt><dd>The total number of years of exposure to risk for those who passed.</dd>
	</dl>

NorbergIns: Norberg life insurance data

Description

Usage

Arguments

Format

References