estimate_quantiles_maxk

<code>estimate_quantiles_maxk</code> use the maxk line obtained to estimate quantiles with MIK

RESTK

Implementation of the RESTK algorithm based on Markov's Inequality from Vilardell, Sergi, Serra, Isabel, Mezzetti, Enrico, Abella, Jaume, Cazorla, Francisco J. and Del Castillo, J. (2022). "Using Markov's Inequality with Power-Of-k Function for Probabilistic WCET Estimation". In 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Leibniz International Proceedings in Informatics (LIPIcs) 231 20:1-20:24. <doi:10.4230/LIPIcs.ECRTS.2022.20>. This work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773).

Sergi Vilardell

An Implementation of the RESTK Algorithm

estimate_quantiles_maxk function

<dl><dt>samp</dt>
<dd>sample</dd>
<dt>maxk_line</dt>
<dd>maxk line obtained for the probabilities of interest</dd>
<dt>probs_interest</dt>
<dd>Probabilities of interest to estimate</dd></dl>

Arguments

Estimate Quantiles with Maxk — estimate_quantiles_maxk

<dl>

<dt>samp</dt>
<dd>sample</dd>


<dt>maxk_line</dt>
<dd>maxk line obtained for the probabilities of interest</dd>


<dt>probs_interest</dt>
<dd>Probabilities of interest to estimate</dd>

</dl>

estimate_quantiles_maxk: Estimate Quantiles with Maxk

Description

Usage

Value

Arguments

Examples