constLoad_4500_1Y

<p>An example dataset containing 300 failure times which can be used to obtain posterior samples of
$$\theta = (\mu_a, \sigma_a, \mu_b, \sigma_b, \mu_c, \sigma_c, \mu_n, \sigma_n, \mu_{\sigma_0} , \sigma_{\sigma_0})$$
 via the <code><a rd-options="" href="/link/abcMCMC?package=abcADM&version=1.0" data-mini-rdoc="abcADM::abcMCMC">abcMCMC</a></code> algorithm.</p>

datasets

Estimate parameters of accumulated damage (load duration) models based on failure time data under a Bayesian framework, using Approximate Bayesian Computation (ABC). Assess long-term reliability under stochastic load profiles. Yang, Zidek, and Wong (2019) <doi:10.1080/00401706.2018.1512900>.

Samuel Wong

abcADM

Fit Accumulated Damage Models and Estimate Reliability using ABC

Zongjun Liu

Chun-Hao Yang

John Burkardt

Samuel W.K. Wong

constLoad_4500_1Y function

Format

<p>An example dataset containing 300 failure times which can be used to obtain posterior samples of
$$\theta = (\mu_a, \sigma_a, \mu_b, \sigma_b, \mu_c, \sigma_c, \mu_n, \sigma_n, \mu_{\sigma_0} , \sigma_{\sigma_0})$$
 via the <code><a rd-options='' href='abcMCMC'>abcMCMC</a></code> algorithm.</p>

Example data with $\tau_c = 4500$ and $t_c = 1Y (8760 hours)$ — constLoad_4500_1Y

Example data with $\tau_c = 4500$ and $t_c = 1Y (8760 hours)$

constLoad_4500_1Y: Example data with \(\tau_c = 4500\) and \(t_c = 1Y (8760 hours)\)

Description

Usage

Arguments

Format